codegena VS CodeRL

Compare codegena vs CodeRL and see what are their differences.

CodeRL

This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22). (by salesforce)
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codegena CodeRL
1 4
0 478
- 1.5%
5.7 4.2
6 months ago 8 months ago
SCSS Python
MIT License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

codegena

Posts with mentions or reviews of codegena. We have used some of these posts to build our list of alternatives and similar projects.
  • Flask app for templating and code generation
    1 project | /r/swift | 26 Nov 2023
    I have open sourced a tool I created where you can generate code from templates. It is a python flask-app and you can access it via https://codegena.cihan.rocks/ or GitHub link is https://github.com/cekware/codegena

CodeRL

Posts with mentions or reviews of CodeRL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-14.

What are some alternatives?

When comparing codegena and CodeRL you can also consider the following projects:

enumer - A Go tool to auto generate methods for your enums

flash-attention - Fast and memory-efficient exact attention

teleport-code-generators - A collection of code generators for modern JavaScript applications

RHO-Loss

clangir - A new (MLIR based) high-level IR for clang.

flash-attention-jax - Implementation of Flash Attention in Jax