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None Developing a TensorBoard plugin Overview You know (and, we hope, love!) TensorBoard’s core features like the scalar dashboard, the graph explorer, and the embedding projector. However, in every TensorBoard user’s life, there comes a time when they want some cool new visualization that just…doesn’t exist yet. That’s what the TensorBoard plugin system is for. We want to enable everyone in the TensorFlow community to add new dashboards and visualizations to TensorBoard. You can do...
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A library for generalized sequence to sequence models T2T: Tensor2Tensor Transformers T2T is a modular and extensiblelibrary and binaries for supervised learning with TensorFlow and with supportfor sequence tasks. It is actively used and maintained by researchers andengineers within the Google Brain team. You can read more about Tensor2Tensor inthe recent Google Research Blog post introducingit . We're eager to collaborate with you on extending T2T, so please feelfree to open an issue onGitHub...
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A library for benchmarking vulnerability to adversarial examples CleverHans (v1.0.0) This repository contains the source code for CleverHans , a Python library tobenchmark machine learning systems' vulnerability to adversarial examples .You can learn more about such vulnerabilities on the accompanying blog . The CleverHans library is under continual development, always welcomingcontributions of the latest attacks and defenses.In particular, we always welcome help towards resolving the issues...
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TensorFlow's Visualization Toolkit TensorBoard TensorBoard is a suite of web applications for inspecting and understanding yourTensorFlow runs and graphs. This README gives an overview of key concepts in TensorBoard, as well as how tointerpret the visualizations TensorBoard provides. For an in-depth example ofusing TensorBoard, see the tutorial: [TensorBoard: VisualizingLearning][].For in-depth information on the Graph Visualizer, see this tutorial: TensorBoard: Graph Visualization . You may...
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Models built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here. The research...
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Download the bundle tensorflow-ranking_-_2018-12-06_22-42-47.bundle and run: git clone tensorflow-ranking_-_2018-12-06_22-42-47.bundle -b master Learning to Rank in TensorFlow TensorFlow Ranking TensorFlow Ranking is a library for Learning-to-Rank (LTR) techniques on theTensorFlow platform. It contains the following components: Commonly used loss functions including pointwise, pairwise, and listwiselosses. Commonly used ranking metrics like Mean Reciprocal Rank (MRR) and NormalizedDiscounted...
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An open-source implementation of the AlphaGoZero algorithm Minigo: A minimalist Go engine modeled after AlphaGo Zero, built on MuGo This is a pure Python implementation of a neural-network based Go AI, usingTensorFlow. While inspired by DeepMind's AlphaGo algorithm, this project is nota DeepMind project nor is it affiliated with the official AlphaGo project. This is NOT an official version of AlphaGo Repeat, this is not the official AlphaGo program by DeepMind . This is anindependent effort by...
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A library for generalized sequence to sequence models T2T: Tensor2Tensor Transformers T2T is a modular and extensiblelibrary and binaries for supervised learning with TensorFlow and with a focus onsequence tasks. Actively used and maintained by researchers and engineers withinGoogle Brain, T2T strives to maximize idea bandwidth and minimize executionlatency. T2T is particularly well-suited to researchers working on sequence tasks. We'reeager to collaborate with you on extending T2T's powers, so...
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An open-source implementation of the AlphaGoZero algorithm Minigo: A minimalist Go engine modeled after AlphaGo Zero, built on MuGo This is a pure Python implementation of a neural-network based Go AI, usingTensorFlow. While inspired by DeepMind's AlphaGo algorithm, this project is nota DeepMind project nor is it affiliated with the official AlphaGo project. This is NOT an official version of AlphaGo Repeat, this is not the official AlphaGo program by DeepMind . This is anindependent effort by...
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Magenta: Music and Art Generation with Machine Intelligence Magenta is a project from the Google Brain team that asks: Can we use machine learning to create compelling art and music? Ifso, how? If not, why not? We’ll use TensorFlow ,and we’ll release our models and tools in open source on this GitHub. We’ll alsopost demos, tutorial blog postings, and technical papers. If you’d like to keepup on Magenta as it grows, you can read our blog and or join our discussion group . Getting Started...
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Models built with TensorFlow TensorFlow Models This repository contains machine learning models implemented in TensorFlow . The models are maintained by theirrespective authors. To propose a model for inclusion, please submit a pullrequest. Currently, the models are compatible with TensorFlow 1.0 or later. If you arerunning TensorFlow 0.12 or earlier, please upgrade your installation . Models adversarial_crypto : protecting communications with adversarial neural cryptography. adversarial_text :...
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Models built with TensorFlow TensorFlow Models This repository contains machine learning models implemented in TensorFlow . The models are maintained by theirrespective authors. To propose a model for inclusion, please submit a pullrequest. Currently, the models are compatible with TensorFlow 1.0 or later. If you arerunning TensorFlow 0.12 or earlier, please upgrade your installation . Models adversarial_crypto : protecting communications with adversarial neural cryptography. adversarial_text :...
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An open-source implementation of the AlphaGoZero algorithm Minigo: A minimalist Go engine modeled after AlphaGo Zero, built on MuGo This is a pure Python implementation of a neural-network based Go AI, usingTensorFlow. While inspired by DeepMind's AlphaGo algorithm, this project is nota DeepMind project nor is it affiliated with the official AlphaGo project. This is NOT an official version of AlphaGo Repeat, this is not the official AlphaGo program by DeepMind . This is anindependent effort by...
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. Nodes in the graph represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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A library of RL tools TensorFlow Agents This project provides optimized infrastructure for reinforcement learning. Itextends the OpenAI gym interface to multiple parallel environmentsand allows agents to be implemented in TensorFlow and perform batchedcomputation. As a starting point, we provide BatchPPO, an optimizedimplementation of Proximal Policy Optimization . Please cite the white paper if you use code from this projectin your research: bibtex@misc{hafner2017agents, title={TensorFlow...
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Computation using data flow graphs for scalable machine learning | Documentation | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that...
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A WebGL accelerated, browser based JavaScript library for training and deploying ML models. TensorFlow.js TensorFlow.js is an open-source hardware-accelerated JavaScript library fortraining and deploying machine learning models. Develop ML in the Browser Use flexible and intuitive APIs to build models from scratch using the low-levelJavaScript linear algebra library or the high-level layers API. Run Existing models Use TensorFlow.js model converters to run pre-existing TensorFlow models rightin...
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Download the bundle tensorflow-lingvo_-_2019-02-26_02-33-30.bundle and run: git clone tensorflow-lingvo_-_2019-02-26_02-33-30.bundle -b master Lingvo Lingvo What is it? Lingvo is a framework for building neural networks in Tensorflow, particularlysequence models. A list of publications using Lingvo can be found here . Quick start Docker The easiest way to get started is to use the provided Docker script . If instead you want to install itdirectly on your machine, skip to the section below....
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A collection of infrastructure and tools for research in neural network interpretability. Lucid Lucid is a collection of infrastructure and tools for research in neuralnetwork interpretability. In particular, it provides state of the art implementations of featurevisualization techniques ,and flexible abstractions that make it very easy to explore new researchdirections. Notebooks Tutorial Notebooks Building Blocks Notebooks corresponding to the Building Blocks of Interpretability article...
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Download the bundle tensorflow-tensorflow_-_2018-11-29_23-04-55.bundle and run: git clone tensorflow-tensorflow_-_2018-11-29_23-04-55.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Download the bundle tensorflow-tensorflow_-_2018-12-13_01-19-47.bundle and run: git clone tensorflow-tensorflow_-_2018-12-13_01-19-47.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...
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Download the bundle tensorflow-tensorflow_-_2018-12-01_04-35-42.bundle and run: git clone tensorflow-tensorflow_-_2018-12-01_04-35-42.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...
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A WebGL accelerated, browser based JavaScript library for training and deploying ML models. TensorFlow.js TensorFlow.js is an open-source hardware-accelerated JavaScript library fortraining and deploying machine learning models. Develop ML in the Browser Use flexible and intuitive APIs to build models from scratch using the low-levelJavaScript linear algebra library or the high-level layers API. Run Existing models Use TensorFlow.js model converters to run pre-existing TensorFlow models rightin...
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A collection of infrastructure and tools for research in neural network interpretability. Lucid Lucid is a collection of infrastructure and tools for research in neuralnetwork interpretability. 📓  Notebooks -- Get started without any setup! 📚  Reading -- Learn more about visualizing neural nets. 💬  Community -- Want to get involved? Please reach out! 🔧  Additional Information -- Licensing, code style, etc. Notebooks Start visualizing neural networks with no setup . The...
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Computation using data flow graphs for scalable machine learning | Documentation | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that...
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Model analysis tools for TensorFlow TensorFlow Model Analysis TensorFlow Model Analysis (TFMA) is a library for evaluating TensorFlowmodels. It allows users to evaluate their models on large amounts of data in adistributed fashion, using the same metrics defined in their trainer. Thesemetrics can also be computed over different slices of data, and the results canbe visualised in Jupyter Notebooks. TFMA may introduce backwards incompatible changes before version 1.0 . Installation and...
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Simple and comprehensive tutorials in TensorFlow To restore the repository download the bundle wget https://archive.org/download/github.com-easy-tensorflow-easy-tensorflow_-_2018-05-19_15-31-23/easy-tensorflow-easy-tensorflow_-_2018-05-19_15-31-23.bundle and run: git clone easy-tensorflow-easy-tensorflow_-_2018-05-19_15-31-23.bundle Source: https://github.com/easy-tensorflow/easy-tensorflow Uploader: easy-tensorflow Upload date: 2018-05-19
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| Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. Nodes in the graph represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture lets you deploy computation to oneor more CPUs or GPUs...
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Computation using data flow graphs for scalable machine learning | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture enables you to deploy computation to oneor more CPUs or GPUs in a desktop, server, or mobile device without rewritingcode....
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Download the bundle tensorflow-tensorflow_-_2019-01-23_12-42-18.bundle and run: git clone tensorflow-tensorflow_-_2019-01-23_12-42-18.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Efficient Batched Reinforcement Learning in TensorFlow TensorFlow Agents This project provides optimized infrastructure for reinforcement learning. Itextends the OpenAI gym interface to multiple parallel environmentsand allows agents to be implemented in TensorFlow and perform batchedcomputation. As a starting point, we provide BatchPPO, an optimizedimplementation of Proximal Policy Optimization . Please cite the TensorFlow Agents paper if you use code fromthis project in your research:...
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Computation using data flow graphs for scalable machine learning | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture enables you to deploy computation to oneor more CPUs or GPUs in a desktop, server, or mobile device without rewritingcode....
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Simple and comprehensive tutorials in TensorFlow To restore the repository download the bundle wget https://archive.org/download/github.com-easy-tensorflow-easy-tensorflow_-_2018-05-18_14-39-38/easy-tensorflow-easy-tensorflow_-_2018-05-18_14-39-38.bundle and run: git clone easy-tensorflow-easy-tensorflow_-_2018-05-18_14-39-38.bundle Source: https://github.com/easy-tensorflow/easy-tensorflow Uploader: easy-tensorflow Upload date: 2018-05-18
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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A collection of infrastructure and tools for research in neural network interpretability. Lucid Lucid is a collection of infrastructure and tools for research in neuralnetwork interpretability. In particular, it provides state of the art implementations of featurevisualization techniques ,and flexible abstractions that make it very easy to explore new researchdirections. Notebooks Tutorial Notebooks Building Blocks Notebooks corresponding to the Building Blocks of Interpretability article...
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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....
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Download the bundle tensorflow-tensorflow_-_2019-02-03_11-42-36.bundle and run: git clone tensorflow-tensorflow_-_2019-02-03_11-42-36.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...
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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Examples built with TensorFlow.js TensorFlow.js Examples This repository contains a set of examples implemented in TensorFlow.js . Each example directory is completely standalone so you can copy the directoryto another project. How to build an example To build an example, first cd into the directory and run yarn to installthe dependencies of the example, and yarn watch to build it, for example: shcd mnist-coreyarnyarn watch Details The convention is that each example contains two scripts: yarn...
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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....
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Computation using data flow graphs for scalable machine learning | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture enables you to deploy computation to oneor more CPUs or GPUs in a desktop, server, or mobile device without rewritingcode....
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Download the bundle tensorflow-tensorflow_-_2018-12-10_18-57-32.bundle and run: git clone tensorflow-tensorflow_-_2018-12-10_18-57-32.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Simple and comprehensive tutorials in TensorFlow To restore the repository download the bundle wget https://archive.org/download/github.com-easy-tensorflow-easy-tensorflow_-_2018-05-18_13-08-25/easy-tensorflow-easy-tensorflow_-_2018-05-18_13-08-25.bundle and run: git clone easy-tensorflow-easy-tensorflow_-_2018-05-18_13-08-25.bundle Source: https://github.com/easy-tensorflow/easy-tensorflow Uploader: easy-tensorflow Upload date: 2018-05-18
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Fast and flexible AutoML with learning guarantees. AdaNet AdaNet is a lightweight and scalable TensorFlow AutoML framework for training and deploying adaptive neural networks using the AdaNet algorithm [ Cortes et al. ICML 2017 ]. AdaNet combines several learned subnetworks in order to mitigate the complexity inherent in designing effective neural networks. This is not an official Google product. Getting Started To get you started: Tutorials: for understanding the AdaNet algorithm and learning...
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Computation using data flow graphs for scalable machine learning | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture enables you to deploy computation to oneor more CPUs or GPUs in a desktop, server, or mobile device without rewritingcode....
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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....
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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....
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Examples built with TensorFlow.js TensorFlow.js Examples This repository contains a set of examples implemented in TensorFlow.js . Each example directory is completely standalone so you can copy the directoryto another project. How to build an example To build an example, first cd into the directory and run yarn to installthe dependencies of the example, and yarn watch to build it, for example: shcd mnist-coreyarnyarn watch Details The convention is that each example contains two scripts: yarn...
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Examples built with TensorFlow.js TensorFlow.js Examples This repository contains a set of examples implemented in TensorFlow.js . Each example directory is completely standalone so you can copy the directoryto another project. How to build an example To build an example, first cd into the directory and run yarn to installthe dependencies of the example, and yarn watch to build it, for example: shcd mnist-coreyarnyarn watch Details The convention is that each example contains two scripts: yarn...
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A WebGL accelerated, browser based JavaScript library for training and deploying ML models. TensorFlow.js TensorFlow.js is an open-source hardware-accelerated JavaScript library fortraining and deploying machine learning models. Develop ML in the Browser Use flexible and intuitive APIs to build models from scratch using the low-levelJavaScript linear algebra library or the high-level layers API. Run Existing models Use TensorFlow.js model converters to run pre-existing TensorFlow models rightin...
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....
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Computation using data flow graphs for scalable machine learning | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture enables you to deploy computation to oneor more CPUs or GPUs in a desktop, server, or mobile device without rewritingcode....
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Computation using data flow graphs for scalable machine learning | Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | | TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible...
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Download the bundle tensorflow-tensorflow_-_2018-11-29_11-07-41.bundle and run: git clone tensorflow-tensorflow_-_2018-11-29_11-07-41.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...
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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....
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Download the bundle tensorflow-tensorflow_-_2019-03-07_13-21-50.bundle and run: git clone tensorflow-tensorflow_-_2019-03-07_13-21-50.bundle -b master An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an open source software library for numerical computationusing data flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This...
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Models and examples built with TensorFlow TensorFlow Models This repository contains a number of different models implemented in TensorFlow : The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here....
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