recurrent-memory-transformer-pytorch
block-recurrent-transformer-pytorch
| recurrent-memory-transformer-pytorch | block-recurrent-transformer-pytorch | |
|---|---|---|
| 1 | 1 | |
| 381 | 204 | |
| - | - | |
| 7.4 | 5.0 | |
| 3 months ago | 10 months ago | |
| Python | Python | |
| MIT License | MIT License |
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recurrent-memory-transformer-pytorch
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The race is on
Of course, lucidrains already has an empty repo up. So that's worth keeping an eye on.
block-recurrent-transformer-pytorch
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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.
What are some alternatives?
musiclm-pytorch - Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
iris - Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
muse-maskgit-pytorch - Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch
flash-attention-jax - Implementation of Flash Attention in Jax
block-recurrent-transformer-py
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.
heinsen_routing - Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.
PaLM-rlhf-pytorch - Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM