block-recurrent-transformer-pytorch
Implementation of Block Recurrent Transformer - Pytorch (by lucidrains)
flash-attention-jax
Implementation of Flash Attention in Jax (by lucidrains)
| block-recurrent-transformer-pytorch | flash-attention-jax | |
|---|---|---|
| 1 | 1 | |
| 204 | 175 | |
| - | - | |
| 5.0 | 2.0 | |
| 10 months ago | 2 months ago | |
| Python | Python | |
| MIT License | MIT 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.
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.
block-recurrent-transformer-pytorch
Posts with mentions or reviews of block-recurrent-transformer-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-09.
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From Deep to Long Learning
that line of research is still going. https://github.com/lucidrains/block-recurrent-transformer-py... i think it is worth continuing research on both fronts.
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.
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[D] Most important AI Paper´s this year so far in my opinion + Proto AGI speculation at the end
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness Paper: https://arxiv.org/abs/2205.14135 Github: https://github.com/HazyResearch/flash-attention and https://github.com/lucidrains/flash-attention-jax
What are some alternatives?
When comparing block-recurrent-transformer-pytorch and flash-attention-jax you can also consider the following projects:
iris - Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
msn - Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
block-recurrent-transformer-py
EfficientZero - Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
flash-attention - Fast and memory-efficient exact attention