lucidrains / recurrent-memory-transformer-pytorchLinks
Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
☆413Updated 7 months ago
Alternatives and similar repositories for recurrent-memory-transformer-pytorch
Users that are interested in recurrent-memory-transformer-pytorch are comparing it to the libraries listed below
Sorting:
- Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT☆220Updated last year
- Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch☆229Updated 11 months ago
- Recurrent Memory Transformer☆150Updated 2 years ago
- Implementation of Block Recurrent Transformer - Pytorch☆219Updated last year
- Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch☆359Updated last year
- Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.☆379Updated last year
- Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch☆649Updated 8 months ago
- Implementation of the Llama architecture with RLHF + Q-learning☆166Updated 6 months ago
- Scaling Data-Constrained Language Models☆339Updated 2 months ago
- minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.☆474Updated 2 years ago
- Sequence modeling with Mega.☆297Updated 2 years ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆461Updated last year
- ☆194Updated 2 weeks ago
- Language Modeling with the H3 State Space Model