flash-attention-jax
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flash-attention-jax | RHO-Loss | |
---|---|---|
1 | 1 | |
175 | 173 | |
- | 4.6% | |
2.0 | 0.0 | |
about 2 months ago | over 1 year 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
RHO-Loss
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[D] Most important AI Paper´s this year so far in my opinion + Proto AGI speculation at the end
RHO-LOSS - Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt - Trains Models 18x faster with higher accuracy Paper: https://arxiv.org/abs/2206.07137 Github: https://github.com/OATML/RHO-Loss
What are some alternatives?
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.
CodeRL - This is the official code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22).
perceiver-ar
block-recurrent-transformer-pytorch - Implementation of Block Recurrent Transformer - Pytorch
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.