flash-attention-jax
perceiver-ar
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| flash-attention-jax | perceiver-ar | |
|---|---|---|
| 1 | 3 | |
| 172 | 225 | |
| - | 1.3% | |
| 2.0 | 0.0 | |
| about 2 months ago | 6 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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flash-attention-jax
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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
perceiver-ar
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[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
What are some alternatives?
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)
RHO-Loss
flash-attention - Fast and memory-efficient exact attention
CodeRL - This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
block-recurrent-transformer-pytorch - Implementation of Block Recurrent Transformer - Pytorch
google-research - Google Research
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model