Alternatives and similar repositories for quantized-training

Users that are interested in quantized-training are comparing it to the libraries listed below

• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆109Updated 10 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆86Updated last month
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆84Updated last week
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆73Updated 8 months ago
• pytorch-labs / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆40Updated last month
• triton-lang / kernels
  ☆79Updated 6 months ago
• mayank31398 / cute-kernels
  A bunch of kernels that might make stuff slower 😉
  ☆40Updated this week
• mlc-ai / mlc-python
  ☆32Updated this week
• INT-FlashAttention2024 / INT-FlashAttention
  ☆70Updated 3 months ago
• ROCm / aotriton
  Ahead of Time (AOT) Triton Math Library
  ☆63Updated this week
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆299Updated this week
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆187Updated 11 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆89Updated 2 weeks ago
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆54Updated 3 months ago
• pytorch-labs / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆132Updated this week
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆70Updated last week
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆91Updated 6 years ago
• simveit / effective_transpose
  Effective transpose on Hopper GPU
  ☆18Updated 2 weeks ago
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆110Updated 5 months ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆91Updated 3 months ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆69Updated last week
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆124Updated this week
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆108Updated 8 months ago
• Jokeren / triton-samples
  ☆27Updated 4 months ago
• tspeterkim / paged-attention-minimal
  a minimal cache manager for PagedAttention, on top of llama3.
  ☆87Updated 8 months ago
• GATECH-EIC / ShiftAddLLM
  ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
  ☆106Updated 7 months ago
• stanford-futuredata / stk
  ☆104Updated 8 months ago
• iree-org / iree-nvgpu
  ☆50Updated last year
• ROCm / TransformerEngine
  ☆32Updated last week
• flashinfer-ai / cutlass-viz
  ☆58Updated 3 weeks ago