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https://github.com/tensorflow/deepmath
Experiments towards neural network theorem proving
https://github.com/tensorflow/deepmath
Last synced: about 1 month ago
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Experiments towards neural network theorem proving
- Host: GitHub
- URL: https://github.com/tensorflow/deepmath
- Owner: tensorflow
- License: apache-2.0
- Archived: true
- Created: 2016-11-07T21:31:44.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2020-12-05T10:44:01.000Z (almost 4 years ago)
- Last Synced: 2024-09-23T07:32:46.508Z (about 1 month ago)
- Language: C++
- Size: 3.32 MB
- Stars: 785
- Watchers: 65
- Forks: 137
- Open Issues: 5
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-bazel - DeepMath
README
# Deepmath
The Deepmath project seeks to improve automated theorem proving using deep
learning and other machine learning techniques. Deepmath is a collaboration
between [Google Research](https://research.google.com) and several universities.## DISCLAIMER:
The source code in this repository is not an official Google product, but
is a research collaboration with external research teams.## Installation
Deepmath depends on TensorFlow, which is included as a submodule. Use, or
see, the Dockerfile for build instructions for `deephol`, our neural prover. It
requires connecting to a proof assistant server. See
https://github.com/brain-research/hol-light for a server implementation.