GitHub

  • Linux GPU: Python 2 ( build history ) / Python 3.4 ( build history ) / Python 3.5 ( build history )
  • Latest commit 55b0159 Jan 1, 2017 yifeif committed on GitHub Merge pull request #6588 from terrytangyuan/run_config_flag
  • TensorFlow is an open source software library for numerical computation using data flow graphs.
  • Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them.
  • TensorFlow also includes TensorBoard, a data visualization toolkit.

tensorflow – Computation using data flow graphs for scalable machine learning

@mattcutts: TensorFlow (Google’s open source ML library) is a little over a year old, but has more stars on GitHub than Linux:

tools Merge changes from github. Dec 15, 2016

util/python Merge changes from github. Nov 9, 2016

.gitignore Merge changes from github. Nov 9, 2016

.mention-bot Fix config that makes file not json parseable. Nov 4, 2016

AUTHORS Merge changes from github. Jul 11, 2016

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit.

TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well.

If you’d like to contribute to TensorFlow, be sure to review the contribution guidelines.

We use GitHub issues for tracking requests and bugs, but please see Community for general questions and discussion.

See Download and Setup for instructions on how to install our release binaries or how to build from source.

People who are a little more adventurous can also try our nightly binaries:

The TensorFlow community has created amazing things with TensorFlow, please see the resources section of tensorflow.org for an incomplete list.

You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session.

GitHub