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Countering Adversarial Image using Input Transformations. Countering Adversarial Images Using Input Transformations Overview This package implements the experiments described in the paper Countering Adversarial Images Using Input Transformations .It contains implementations for adversarial attacks , defenses based image transformations , training , and testing convolutional networks under adversarial attacks using our defenses. We also provide pre-trained models . If you use this code, please...
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FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. Detectron Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN . It is written in Python and powered by the Caffe2 deep learning framework. At FAIR, Detectron has enabled numerous research projects, including: Feature Pyramid Networks for Object Detection , Mask R-CNN , Detecting and Recognizing...
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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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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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Download the bundle facebookresearch-LASER_-_2019-01-22_23-40-15.bundle and run: git clone facebookresearch-LASER_-_2019-01-22_23-40-15.bundle -b master Language-Agnostic SEntence Representations LASER Language-Agnostic SEntence Representations LASER is a library to calculate and use multilingual sentence embeddings. MAJOR UPDATE: * We now provide an encoder which was trained on 93 languages , written in 23 different alphabets [6]. This includes all European languages, many Asian and Indian...
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Download the bundle facebookresearch-nevergrad_-_2018-12-23_10-30-42.bundle and run: git clone facebookresearch-nevergrad_-_2018-12-23_10-30-42.bundle -b master A Python toolbox for performing gradient-free optimization Nevergrad - A gradient-free optimization platform nevergrad is a Python 3.6+ library. It can be installed with: pip3 install git+https://github.com/facebookresearch/nevergrad@master#egg=nevergrad Alternatively, you can clone the repository and run python3 setup.py develop from...
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Facebook AI Research Automatic Speech Recognition Toolkit wav2letter wav2letter is a simple and efficient end-to-end Automatic SpeechRecognition (ASR) system from Facebook AI Research. The original authors ofthis implementation are Ronan Collobert, Christian Puhrsch, GabrielSynnaeve, Neil Zeghidour, and Vitaliy Liptchinsky. wav2letter implements the architecture proposed in Wav2Letter: an End-to-End ConvNet-based Speech Recognition System and Letter-Based Speech Recognition with Gated ConvNets...
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FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. Detectron Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN . It is written in Python and powered by the Caffe2 deep learning framework. At FAIR, Detectron has enabled numerous research projects, including: Feature Pyramid Networks for Object Detection , Mask R-CNN , Detecting and Recognizing...
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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 | 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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Download the bundle facebookresearch-UnsupervisedMT_-_2018-08-17_12-50-10.bundle and run: git clone facebookresearch-UnsupervisedMT_-_2018-08-17_12-50-10.bundle -b master Phrase-Based & Neural Unsupervised Machine Translation Unsupervised Machine Translation This repository contains the original implementation of the unsupervised PBSMT and NMT models presented in Phrase-Based & Neural Unsupervised Machine Translation (EMNLP 2018). The NMT implementation supports:- Three machine...
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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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Facebook AI Research Automatic Speech Recognition Toolkit wav2letter wav2letter is a simple and efficient end-to-end Automatic SpeechRecognition (ASR) system from Facebook AI Research. The original authors ofthis implementation are Ronan Collobert, Christian Puhrsch, GabrielSynnaeve, Neil Zeghidour, and Vitaliy Liptchinsky. wav2letter implements the architecture proposed in Wav2Letter: an End-to-End ConvNet-based Speech Recognition System and Letter-Based Speech Recognition with Gated ConvNets...
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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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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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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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Non-local Neural Networks for Video Classification Non-local Neural Networks for Video Classification This code is a re-implementation of the video classification experiments in the paper Non-local Neural Networks . The code is developed based on the Caffe2 framework. License The code and the models in this repo are released under the CC-BY-NC 4.0 LICENSE . Citation If you use our code in your research or wish to refer to the baseline results, please use the following BibTeX entry....
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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. πŸ““β€€ Notebooks -- Get started without any setup! πŸ“šβ€€ Reading -- Learn more about visualizing neural nets. πŸ’¬β€€ Community -- Want to get involved? Please reach out! πŸ”§β€€ Additional Information -- Licensing, code style, etc. Notebooks Start visualizing neural networks with no setup . The...
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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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Non-local Neural Networks for Video Classification Non-local Neural Networks for Video Classification This code is a re-implementation of the video classification experiments in the paper Non-local Neural Networks . The code is developed based on the Caffe2 framework. License The code and the models in this repo are released under the CC-BY-NC 4.0 LICENSE . Citation If you use our code in your research or wish to refer to the baseline results, please use the following BibTeX entry....
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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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Countering Adversarial Image using Input Transformations. Countering Adversarial Images Using Input Transformations Overview This package implements the experiments described in the paper Countering Adversarial Images Using Input Transformations .It contains implementations for adversarial attacks , defenses based image transformations , training , and testing convolutional networks under adversarial attacks using our defenses. We also provide pre-trained models . If you use this code, please...
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Download the bundle facebookresearch-UnsupervisedMT_-_2018-08-14_13-02-59.bundle and run: git clone facebookresearch-UnsupervisedMT_-_2018-08-14_13-02-59.bundle -b master Phrase-Based & Neural Unsupervised Machine Translation Unsupervised Machine Translation This repository contains the original implementation of the unsupervised PBSMT and NMT models presented in Phrase-Based & Neural Unsupervised Machine Translation (EMNLP 2018). The NMT implementation supports:- Three machine...
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A domain specific language to express machine learning workloads. Tensor Comprehensions (TC) is a fully-functional C++ library to automatically synthesize high-performance machine learning kernels using Halide , ISL and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and pybind11 bindings for use with python. We provide more details in our paper on arXiv . This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor...
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A domain specific language to express machine learning workloads. Tensor Comprehensions (TC) is a fully-functional C++ library to automatically synthesize high-performance machine learning kernels using Halide , ISL and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and pybind11 bindings for use with python. We provide more details in our paper on arXiv . This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor...
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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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A domain specific language to express machine learning workloads. Tensor Comprehensions (TC) is a fully-functional C++ library to automatically synthesize high-performance machine learning kernels using Halide , ISL and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and pybind11 bindings for use with python. We provide more details in our paper on arXiv . This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor...
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A domain specific language to express machine learning workloads. Tensor Comprehensions (TC) is a fully-functional C++ library to automatically synthesize high-performance machine learning kernels using Halide , ISL and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and pybind11 bindings for use with python. We provide more details in our paper on arXiv . This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor...
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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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A domain specific language to express machine learning workloads. Tensor Comprehensions (TC) is a fully-functional C++ library to automatically synthesize high-performance machine learning kernels using Halide , ISL and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and pybind11 bindings for use with python. We provide more details in our paper on arXiv . This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor...
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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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PyTorch implementation of the NIPS-17 paper "PoincarΓ© Embeddings for Learning Hierarchical Representations" To restore the repository download the bundle wget https://archive.org/download/github.com-facebookresearch-poincare-embeddings_-_2018-01-22_18-34-48/facebookresearch-poincare-embeddings_-_2018-01-22_18-34-48.bundle and run: git clone facebookresearch-poincare-embeddings_-_2018-01-22_18-34-48.bundle Source: https://github.com/facebookresearch/poincare-embeddings Uploader:...
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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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FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. Detectron Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN . It is written in Python and powered by the Caffe2 deep learning framework. At FAIR, Detectron has enabled numerous research projects, including: Feature Pyramid Networks for Object Detection , Mask R-CNN , Detecting and Recognizing...
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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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Download the bundle facebookresearch-flashlight_-_2018-12-23_01-17-27.bundle and run: git clone facebookresearch-flashlight_-_2018-12-23_01-17-27.bundle -b master A C++ standalone library for machine learning flashlight flashlight is a fast, flexible machine learning library written entirely in C++from FAIR Speech Team and the creators of Torch and DeepSpeech. It uses the ArrayFire tensor library and featuresjust-in-time compilation with modern C++. We support both CPU and GPU backendsfor...
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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 | 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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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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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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