30
30

Apr 15, 2018
04/18

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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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14
14

Jun 15, 2018
06/18

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tensorflow

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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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7
7.0

Nov 29, 2018
11/18

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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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8
8.0

Mar 30, 2018
03/18

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tensorflow

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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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5
5.0

May 15, 2018
05/18

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tensorflow

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18
18

Apr 1, 2018
04/18

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tensorflow

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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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10
10.0

Dec 10, 2018
12/18

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tensorflow

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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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13
13

Mar 9, 2018
03/18

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tensorflow

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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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9
9.0

Nov 1, 2018
11/18

by
tensorflow

software

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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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72
72

Jan 31, 2018
01/18

by
tensorflow

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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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62
62

Oct 5, 2017
10/17

by
tensorflow

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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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0
0.0

Feb 9, 2020
02/20

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tensorflow

software

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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....

Topics: GitHub, code, software, git

15
15

Dec 8, 2017
12/17

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tensorflow

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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...

Topics: GitHub, code, software, git

4
4.0

Feb 4, 2018
02/18

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tensorflow

software

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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....

Topics: GitHub, code, software, git

12
12

Feb 3, 2019
02/19

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tensorflow

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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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5
5.0

May 15, 2018
05/18

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tensorflow

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comment 0

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78
78

Oct 5, 2017
10/17

by
tensorflow

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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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8
8.0

Jun 16, 2018
06/18

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tensorflow

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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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20
20

Dec 1, 2018
12/18

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tensorflow

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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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29
29

Apr 1, 2018
04/18

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tensorflow

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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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6
6.0

Apr 15, 2018
04/18

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tensorflow

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8
8.0

Jan 27, 2020
01/20

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tensorflow

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An Open Source Machine Learning Framework for Everyone Documentation |------------------- | | TensorFlow is an end-to-end open source platformfor machine learning. It has a comprehensive, flexible ecosystem of tools , libraries , and community resources that letsresearchers push the state-of-the-art in ML and developers easily build anddeploy ML-powered applications. TensorFlow was originally developed by researchers and engineers working on theGoogle Brain team within Google's Machine...

Topics: GitHub, code, software, git

19
19

Oct 7, 2017
10/17

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tensorflow

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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...

Topics: GitHub, code, software, git

8
8.0

Dec 7, 2017
12/17

by
tensorflow

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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...

Topics: GitHub, code, software, git

23
23

Nov 29, 2018
11/18

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tensorflow

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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...

Topics: GitHub, code, software, git

1
1.0

Sep 7, 2019
09/19

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tensorflow

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None Neural Structured Learning in TensorFlow Neural Structured Learning (NSL) is a new learning paradigm to train neuralnetworks by leveraging structured signals in addition to feature inputs.Structure can be explicit as represented by a graph [1,2,5] or implicit asinduced by adversarial perturbation [3,4]. Structured signals are commonly used to represent relations or similarityamong samples that may be labeled or unlabeled. Leveraging these signals duringneural network training harnesses...

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2
2.0

Aug 28, 2019
08/19

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tensorflow

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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....

Topics: GitHub, code, software, git

32
32

Sep 7, 2017
09/17

by
tensorflow

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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...

Topics: GitHub, code, software, git

3
3.0

Oct 3, 2019
10/19

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tensorflow

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TensorFlow documentation TensorFlow Documentation This is the TensorFlow documentation for tensorflow.org .To contribute, see CONTRIBUTING.md and the docs contributor guide . To file a docs issue, use the tracker in the tensorflow/tensorflow repo. And join the TensorFlow documentation contributors on the docs@tensorflow.org mailing list . License Apache License 2.0 To restore the repository download the bundle wget...

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4
4.0

Nov 9, 2018
11/18

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tensorflow

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Download the bundle tensorflow-tensorflow_-_2018-11-09_22-26-20.bundle and run: git clone tensorflow-tensorflow_-_2018-11-09_22-26-20.bundle -b master An Open Source Machine Learning Framework for Everyone | 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...

Topics: GitHub, code, software, git

11
11

Jun 15, 2018
06/18

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tensorflow

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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....

Topics: GitHub, code, software, git

7
7.0

Sep 20, 2019
09/19

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tensorflow

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An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an end-to-end open source platformfor machine learning. It has a comprehensive, flexible ecosystem of tools , libraries , and community resources that letsresearchers push the state-of-the-art in ML and developers easily build anddeploy ML powered applications. TensorFlow was originally developed by researchers and engineers working on theGoogle Brain team within Google's Machine...

Topics: GitHub, code, software, git

70
70

Jun 17, 2017
06/17

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tensorflow

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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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31
31

Jul 9, 2017
07/17

by
tensorflow

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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...

Topics: GitHub, code, software, git

7
7.0

Feb 5, 2018
02/18

by
tensorflow

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eye 7

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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...

Topics: GitHub, code, software, git

15
15

Jan 23, 2019
01/19

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tensorflow

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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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24
24

Mar 7, 2018
03/18

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tensorflow

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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...

Topics: GitHub, code, software, git

8
8.0

Mar 31, 2018
03/18

by
tensorflow

software

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eye 8

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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...

Topics: GitHub, code, software, git

7
7.0

Oct 3, 2019
10/19

by
tensorflow

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eye 7

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An Open Source Machine Learning Framework for Everyone | Documentation ||-----------------|| | TensorFlow is an end-to-end open source platformfor machine learning. It has a comprehensive, flexible ecosystem of tools , libraries , and community resources that letsresearchers push the state-of-the-art in ML and developers easily build anddeploy ML powered applications. TensorFlow was originally developed by researchers and engineers working on theGoogle Brain team within Google's Machine...

Topics: GitHub, code, software, git

4
4.0

Nov 9, 2019
11/19

by
tensorflow

software

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eye 4

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comment 0

An Open Source Machine Learning Framework for Everyone Documentation |------------------- | | TensorFlow is an end-to-end open source platformfor machine learning. It has a comprehensive, flexible ecosystem of tools , libraries , and community resources that letsresearchers push the state-of-the-art in ML and developers easily build anddeploy ML powered applications. TensorFlow was originally developed by researchers and engineers working on theGoogle Brain team within Google's Machine...

Topics: GitHub, code, software, git

5
5.0

May 15, 2018
05/18

by
tensorflow

software

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eye 5

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comment 0

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....

Topics: GitHub, code, software, git

8
8.0

Apr 2, 2018
04/18

by
tensorflow

software

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eye 8

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comment 0

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...

Topics: GitHub, code, software, git

159
159

Jul 17, 2017
07/17

by
tensorflow

software

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eye 159

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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...

Topics: GitHub, code, software, git

14
14

Oct 5, 2017
10/17

by
tensorflow

software

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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:...

Topics: GitHub, code, software, git

5
5.0

Jan 2, 2020
01/20

by
tensorflow

software

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eye 5

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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....

Topics: GitHub, code, software, git

1
1.0

Sep 6, 2019
09/19

by
tensorflow

software

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eye 1

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favorite 0

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None Neural Structured Learning in TensorFlow Neural Structured Learning (NSL) is a new learning paradigm to train neuralnetworks by leveraging structured signals in addition to feature inputs.Structure can be explicit as represented by a graph [1,2,5] or implicit asinduced by adversarial perturbation [3,4]. Structured signals are commonly used to represent relations or similarityamong samples that may be labeled or unlabeled. Leveraging these signals duringneural network training harnesses...

Topics: GitHub, code, software, git

17
17

Jun 10, 2017
06/17

by
tensorflow

software

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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...

Topics: GitHub, code, software, git

13
13

Jan 7, 2018
01/18

by
tensorflow

software

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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...

Topics: GitHub, code, software, git

15
15

Nov 7, 2017
11/17

by
tensorflow

software

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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...

Topics: GitHub, code, software, git

6
6.0

Mar 7, 2019
03/19

by
tensorflow

software

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eye 6

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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...

Topics: GitHub, code, software, git