Alternatives and similar repositories for stk

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

• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆216Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆123Updated 4 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆241Updated last month
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆82Updated last year
• cchan / tccl
  extensible collectives library in triton
  ☆88Updated 6 months ago
• triton-lang / kernels
  ☆90Updated 10 months ago
• exists-forall / striped_attention
  ☆41Updated last year
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆265Updated 2 months ago
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆121Updated 10 months ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆296Updated last month
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆159Updated 2 years ago
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated last year
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆320Updated last year
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆213Updated last week
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆221Updated 2 years ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆155Updated 5 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆230Updated this week
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆168Updated last year
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆84Updated 2 weeks ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆239Updated 3 weeks ago
• open-lm-engine / flash-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆59Updated last week
• FasterDecoding / TEAL
  ☆142Updated 7 months ago
• zhuohan123 / terapipe
  ☆75Updated 4 years ago
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆152Updated last month
• Dao-AILab / grouped-latent-attention
  ☆126Updated 4 months ago
• yanring / Megatron-MoE-ModelZoo
  Best practices for training DeepSeek, Mixtral, Qwen and other MoE models using Megatron Core.
  ☆98Updated 2 weeks ago
• feifeibear / Odysseus-Transformer
  Odysseus: Playground of LLM Sequence Parallelism
  ☆77Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆261Updated 3 weeks ago
• thu-pacman / FasterMoE
  ☆88Updated 3 years ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆115Updated last year