Alternatives and similar repositories for pytorch-custom-mma

Users that are interested in pytorch-custom-mma are comparing it to the libraries listed below

• lucidrains / token-shift-gpt
  Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing
  ☆49Updated 3 years ago
• lucidrains / autoregressive-linear-attention-cuda
  CUDA implementation of autoregressive linear attention, with all the latest research findings
  ☆46Updated 2 years ago
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated 2 years ago
• srush / mamba-scans
  Blog post
  ☆17Updated last year
• eth-easl / fmengine
  Utilities for Training Very Large Models
  ☆58Updated last year
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated 2 years ago
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆47Updated last year
• lucidrains / panoptic-transformer
  Another attempt at a long-context / efficient transformer by me
  ☆38Updated 3 years ago
• lucidrains / einops-exts
  Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️
  ☆57Updated 3 years ago
• lucidrains / rela-transformer
  Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012
  ☆49Updated 3 years ago
• lucidrains / gated-state-spaces-pytorch
  Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch
  ☆102Updated 2 years ago
• lucidrains / memory-editable-transformer
  My explorations into editing the knowledge and memories of an attention network
  ☆35Updated 3 years ago
• kyegomez / Blockwise-Parallel-Transformer
  32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.
  ☆49Updated 2 years ago
• lucidrains / esbn-transformer
  An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols
  ☆16Updated 4 years ago
• renll / SeqBoat
  [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
  ☆40Updated 2 years ago
• sustcsonglin / mamba-triton
  ☆51Updated last year
• pytorch / maskedtensor
  MaskedTensors for PyTorch
  ☆38Updated 3 years ago
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆73Updated last year
• glassroom / heinsen_attention
  Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)
  ☆24Updated last year
• EleutherAI / rnngineering
  Engineering the state of RNN language models (Mamba, RWKV, etc.)
  ☆32Updated last year
• yikangshen / megablocks
  ☆20Updated last year
• AranKomat / Metroplex
  ☆21Updated 2 years ago
• CyndxAI / QKNorm
  Code for the paper "Query-Key Normalization for Transformers"
  ☆50Updated 4 years ago
• proger / nanokitchen
  Parallel Associative Scan for Language Models
  ☆18Updated 2 years ago
• lucidrains / product-key-memory
  Standalone Product Key Memory module in Pytorch - for augmenting Transformer models
  ☆87Updated 2 months ago
• RobertCsordas / linear_layer_as_attention
  The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …
  ☆16Updated 7 months ago
• HazyResearch / prefix-linear-attention
  ☆57Updated last year
• maximzubkov / fft-scan
  Efficient PScan implementation in PyTorch
  ☆17Updated 2 years ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year