Alternatives and similar repositories for nanokitchen

Users that are interested in nanokitchen are comparing it to the libraries listed below

• srush / mamba-scans
  Blog post
  ☆17Updated last year
• maximzubkov / fft-scan
  Efficient PScan implementation in PyTorch
  ☆16Updated last year
• radarFudan / mamba-minimal-jax
  ☆31Updated 7 months ago
• johnryan465 / pscan
  ☆40Updated last year
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• sustcsonglin / mamba-triton
  ☆48Updated last year
• young-geng / mintext
  Minimal but scalable implementation of large language models in JAX
  ☆35Updated 7 months ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• automl / unlocking_state_tracking
  Expanding linear RNN state-transition matrix eigenvalues to include negatives improves state-tracking tasks and language modeling without…
  ☆15Updated 3 months ago
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated last year
• berlino / seq_icl
  ☆53Updated last year
• AndPotap / einsum-search
  ☆32Updated 8 months ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆79Updated last year
• ahennequ / pytorch-custom-mma
  ☆29Updated 2 years ago
• lxxue / prefix_sum
  A PyTorch wrapper of parallel exclusive scan in CUDA
  ☆12Updated 2 years ago
• samblouir / birdie
  ☆13Updated 3 weeks ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆83Updated last year
• edwardmilsom / function-space-learning-rates-paper
  Code for the paper "Function-Space Learning Rates"
  ☆20Updated 3 weeks ago
• renll / SeqBoat
  [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
  ☆37Updated last year
• shikaiqiu / compute-better-spent
  ☆53Updated 8 months ago
• erfanzar / jax-flash-attn2
  A flexible and efficient implementation of Flash Attention 2.0 for JAX, supporting multiple backends (GPU/TPU/CPU) and platforms (Triton/…
  ☆24Updated 3 months ago
• google-deepmind / spectral_ssm
  ☆32Updated last year
• EleutherAI / rnngineering
  Engineering the state of RNN language models (Mamba, RWKV, etc.)
  ☆32Updated last year
• jopetty / word-problem
  Experiments on the impact of depth in transformers and SSMs.
  ☆31Updated 7 months ago
• nikhilvyas / SOAP_MUON
  Combining SOAP and MUON
  ☆16Updated 4 months ago
• Doraemonzzz / Awesome-Triton-Resources
  Awesome Triton Resources
  ☆31Updated last month
• GindaChen / FlexFlashAttention3
  FlexAttention w/ FlashAttention3 Support
  ☆26Updated 8 months ago
• cat-state / tinypar
  ☆20Updated last year
• glassroom / heinsen_attention
  Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)
  ☆24Updated last year
• emalach / LinearLM
  Code for the paper: https://arxiv.org/pdf/2309.06979.pdf
  ☆19Updated 10 months ago