Alternatives and similar repositories for triton-viz:

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

• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆171Updated last month
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆231Updated this week
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆250Updated last week
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆221Updated 7 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆184Updated 2 weeks ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆107Updated last week
• cchan / tccl
  extensible collectives library in triton
  ☆83Updated 5 months ago
• ColfaxResearch / cutlass-kernels
  ☆185Updated 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.
  ☆188Updated this week
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆208Updated this week
• triton-lang / kernels
  ☆71Updated 3 months ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆91Updated this week
• HanGuo97 / flute
  Fast Matrix Multiplications for Lookup Table-Quantized LLMs
  ☆231Updated last week
• yifuwang / symm-mem-recipes
  ☆47Updated 2 months ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆237Updated 4 months ago
• stanford-futuredata / stk
  ☆100Updated 6 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆123Updated last year
• gpu-mode / ring-attention
  ring-attention experiments
  ☆125Updated 4 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆515Updated last week
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆157Updated last year
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆150Updated 9 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆100Updated 7 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆65Updated 4 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆201Updated 3 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆145Updated last year
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆65Updated 5 months ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆223Updated this week
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆412Updated last week