Alternatives and similar repositories for fast-hadamard-transform

Users that are interested in fast-hadamard-transform are comparing it to the libraries listed below

• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆263Updated last month
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆87Updated last week
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆116Updated 3 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆216Updated last year
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆319Updated last year
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆422Updated 9 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆365Updated this week
• INT-FlashAttention2024 / INT-FlashAttention
  ☆81Updated 7 months ago
• thu-ml / Jetfire-INT8Training
  ☆51Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆154Updated 5 months ago
• ruikangliu / FlatQuant
  [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"
  ☆160Updated last month
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆114Updated last year
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆219Updated last year
• HandH1998 / QQQ
  QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
  ☆139Updated 3 weeks ago
• ColfaxResearch / cutlass-kernels
  ☆231Updated last year
• BrotherHappy / OSTQuant
  [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…
  ☆73Updated 5 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆277Updated last year
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆221Updated this week
• microsoft / SparTA
  ☆150Updated last year
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆295Updated 3 weeks ago
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆148Updated 3 months ago
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆131Updated last year
• FasterDecoding / TEAL
  ☆141Updated 7 months ago
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆667Updated last month
• stanford-futuredata / stk
  ☆110Updated last year
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆323Updated 7 months ago
• naver-aics / lut-gemm
  ☆69Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆252Updated this week
• triton-lang / kernels
  ☆88Updated 10 months ago
• SqueezeBits / QUICK
  QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
  ☆118Updated last year