Alternatives and similar repositories for triton-index:

Users that are interested in triton-index are comparing it to the libraries listed below

• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆215Updated last week
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆199Updated last week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆91Updated 3 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆171Updated last week
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆219Updated 5 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆77Updated 4 months ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆186Updated last week
• ColfaxResearch / cutlass-kernels
  ☆180Updated 6 months ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆86Updated this week
• stanford-futuredata / stk
  ☆97Updated 5 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆119Updated 3 months ago
• HanGuo97 / flute
  Fast Matrix Multiplications for Lookup Table-Quantized LLMs
  ☆221Updated last week
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆99Updated last week
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆157Updated last year
• triton-lang / kernels
  ☆64Updated 2 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆128Updated 2 months ago
• SqueezeBits / QUICK
  QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
  ☆114Updated 10 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆116Updated last year
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆64Updated 4 months ago
• yifuwang / symm-mem-recipes
  ☆36Updated last month
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆232Updated 3 months ago
• andylolu2 / simpleGEMM
  The simplest but fast implementation of matrix multiplication in CUDA.
  ☆34Updated 6 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆135Updated 8 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆194Updated 2 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆61Updated 2 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆94Updated 6 months ago
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆356Updated this week
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆291Updated 6 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆140Updated 11 months ago