# atlas

**Repository Path**: mirrors_qinxuye/atlas

## Basic Information

- **Project Name**: atlas
- **Description**: A Framework for Model-Backed Generators. Backend for AutoPandas (https://autopandas.io)
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-29
- **Last Updated**: 2026-10-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<img align="left" src="atlas-logo.png" width=110>

# Atlas

[![Stage](https://img.shields.io/badge/Stage-Alpha-red)]()
[![Build Status](https://travis-ci.org/rbavishi/atlas.svg?branch=master)](https://travis-ci.org/rbavishi/atlas)
[![codecov](https://codecov.io/gh/rbavishi/atlas/branch/master/graph/badge.svg)](https://codecov.io/gh/rbavishi/atlas)

A Framework for Model-Backed Generators


## Installation

* As the repository is in early development stage, you should do a development install as follows

    ```bash
      cd <repo-dir>
      pip install -e .
    ```
  
* The requirements list `tensorflow==1.13.2`. If you want to use the GPU version, 
you can manually install `tensorflow-gpu==1.13.2` using pip. Make sure CUDA version is 10.

## OOPSLA 2019

The system used for the [OOPSLA '19 paper](https://2019.splashcon.org/details/splash-2019-oopsla/51/AutoPandas-Neural-Backed-Generators-for-Program-Synthesis) 
is available in the `oopsla-2019-autopandas` branch.
Atlas is a generalization of that system. The porting of AutoPandas onto Atlas is ongoing.

## Documentation and More Tutorials

Coming soon.