ahennequ / pytorch-custom-mmaLinks
☆29Updated 3 years ago
Alternatives and similar repositories for pytorch-custom-mma
Users that are interested in pytorch-custom-mma are comparing it to the libraries listed below
Sorting:
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆45Updated 2 years ago
- Blog post☆17Updated last year
- ☆31Updated last year
- Using FlexAttention to compute attention with different masking patterns☆47Updated last year
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- ☆56Updated last year
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆48Updated 2 years ago
- My explorations into editing the knowledge and memories of an attention network☆34Updated 2 years ago
- Utilities for Training Very Large Models☆58Updated last year
- Another attempt at a long-context / efficient transformer by me☆38Updated 3 years ago
- ☆48Updated last year
- Code for the paper "Query-Key Normalization for Transformers"☆49Updated 4 years ago
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆55Updated 2 years ago
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated last year
- Standalone Product Key Memory module in Pytorch - for augmenting Transformer models☆85Updated last week
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated last year
- ☆52Updated last year
- Efficient PScan implementation in PyTorch☆17Updated last year
- ☆20Updated last year
- MaskedTensors for PyTorch☆38Updated 3 years ago
- Implementation of Infini-Transformer in Pytorch☆113Updated 10 months ago
- Here we will test various linear attention designs.☆61Updated last year
- HomebrewNLP in JAX flavour for maintable TPU-Training☆51Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated last year
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated last year
- Automatically take good care of your preemptible TPUs☆37Updated 2 years ago
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆73Updated last year