Alternatives and similar repositories for gemlite

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

• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆277Updated 3 weeks ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆236Updated 5 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆219Updated this week
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated 10 months ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆128Updated 2 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆186Updated last month
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆136Updated this week
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆281Updated 2 months ago
• ColfaxResearch / cutlass-kernels
  ☆212Updated 11 months ago
• HazyResearch / Megakernels
  kernels, of the mega variety
  ☆390Updated 2 weeks ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆201Updated last year
• cchan / tccl
  extensible collectives library in triton
  ☆86Updated 2 months ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆252Updated 7 months ago
• triton-lang / kernels
  ☆81Updated 7 months ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆204Updated this week
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆310Updated 11 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆144Updated 8 months ago
• ppl-ai / pplx-kernels
  Perplexity GPU Kernels
  ☆364Updated last week
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆395Updated 6 months ago
• yifuwang / symm-mem-recipes
  ☆91Updated 5 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆109Updated 11 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆219Updated 6 months ago
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆396Updated 3 weeks ago
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆415Updated 3 weeks ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆358Updated 10 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆99Updated 3 weeks ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆79Updated 9 months ago
• pytorch-labs / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆166Updated this week
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆629Updated last month
• SqueezeBits / QUICK
  QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
  ☆118Updated last year