# AlphaGo

**Repository Path**: mirrors_yosssi/AlphaGo

## Basic Information

- **Project Name**: AlphaGo
- **Description**: A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: develop
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-26
- **Last Updated**: 2026-04-05

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# AlphaGoReplication

A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found [on their website](http://deepmind.com/alpha-go.html).

[![Build Status](https://travis-ci.org/Rochester-NRT/AlphaGo.svg?branch=develop)](https://travis-ci.org/Rochester-NRT/AlphaGo)

# Current project status

_This is not yet a full implementation of AlphaGo_. Development is being carried out on the `develop` branch.

We are still in early development stages. We hope to have a functional training pipeline complete by mid March, and following that we will focus on optimizations.

# Installation instructions

Using a [virtual environment](http://docs.python-guide.org/en/latest/dev/virtualenvs/) is recommended. If you have python 2.7 and `pip` installed, you can install all of the project dependencies with

	pip install -r requirements.txt

To verify that this worked, try running the tests

	python -m unittest discover