CodeRL
This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22). (by salesforce)
perceiver-ar
By google-research
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| CodeRL | perceiver-ar | |
|---|---|---|
| 4 | 3 | |
| 476 | 225 | |
| 1.9% | 1.3% | |
| 4.2 | 0.0 | |
| 7 months ago | 11 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
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.
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.
-
[D] Most important AI Paper´s this year so far in my opinion + Proto AGI speculation at the end
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning Paper: https://arxiv.org/pdf/2207.01780.pdf Github: https://github.com/salesforce/CodeRL
- AI Coding with CodeRL: Toward Mastering Program Synthesis with Deep RL
- [R] CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
perceiver-ar
Posts with mentions or reviews of perceiver-ar.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-14.
-
[D] Most important AI Paper´s this year so far in my opinion + Proto AGI speculation at the end
General-purpose, long-context autoregressive modeling with Perceiver AR - Deepmind 2022 Paper: https://arxiv.org/abs/2202.07765 Deepmind: https://www.deepmind.com/publications/perceiver-ar-general-purpose-long-context-autoregressive-generation Code: https://github.com/google-research/perceiver-ar
- GitHub - google-research/perceiver-ar
- [R] General-purpose, long-context autoregressive modeling with Perceiver AR - Deepmind 2022
What are some alternatives?
When comparing CodeRL and perceiver-ar you can also consider the following projects:
flash-attention - Fast and memory-efficient exact attention
RHO-Loss
flash-attention-jax - Implementation of Flash Attention in Jax
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
EfficientZero - Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
msn - Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)