block-recurrent-transformer-pytorch
block-recurrent-transformer-py
| block-recurrent-transformer-pytorch | block-recurrent-transformer-py | |
|---|---|---|
| 1 | 1 | |
| 204 | - | |
| - | - | |
| 5.0 | - | |
| 10 months ago | - | |
| Python | ||
| MIT License | - |
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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.
block-recurrent-transformer-py
-
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?
iris - Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
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.
flash-attention-jax - Implementation of Flash Attention in Jax
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.
PaLM-rlhf-pytorch - Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
musiclm-pytorch - Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch