Alternatives and similar repositories for gemlite

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

• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆303Updated 2 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆265Updated 2 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆246Updated last week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆164Updated 7 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆282Updated this week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆242Updated 6 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆391Updated last month
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆651Updated 2 weeks ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆255Updated 3 weeks ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆271Updated 3 months ago
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆223Updated last year
• tspeterkim / paged-attention-minimal
  a minimal cache manager for PagedAttention, on top of llama3.
  ☆125Updated last year
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆216Updated last week
• cchan / tccl
  extensible collectives library in triton
  ☆90Updated 7 months ago
• ColfaxResearch / cutlass-kernels
  ☆243Updated last year
• HazyResearch / Megakernels
  kernels, of the mega variety
  ☆599Updated last month
• gpu-mode / ring-attention
  ring-attention experiments
  ☆155Updated last year
• triton-lang / kernels
  ☆93Updated last year
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆327Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆127Updated 5 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆248Updated last month
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆120Updated last year
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆128Updated last week
• yifuwang / symm-mem-recipes
  ☆147Updated 10 months ago
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆585Updated last week
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆708Updated 3 months ago
• vllm-project / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆204Updated this week
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆449Updated 11 months ago
• mit-han-lab / omniserve
  [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…
  ☆775Updated 8 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆390Updated last year