flash-attention-jax VS CodeRL

Compare flash-attention-jax 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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flash-attention-jax CodeRL
1 4
175 476
- 1.9%
2.0 4.2
about 2 months ago 7 months ago
Python 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.

flash-attention-jax

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

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 flash-attention-jax and CodeRL you can also consider the following projects:

msn - Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)

flash-attention - Fast and memory-efficient exact attention

EfficientZero - Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

RHO-Loss

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

block-recurrent-transformer-pytorch - Implementation of Block Recurrent Transformer - Pytorch

perceiver-ar

DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.