Alternatives and similar repositories for pyrsmi

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

• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆64Updated this week
• deepspeedai / DeepSpeed-Kernels
  ☆71Updated 8 months ago
• lianakoleva / no-libtorch-compile
  ☆21Updated 9 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆91Updated 8 months ago
• ROCm / aotriton
  Ahead of Time (AOT) Triton Math Library
  ☆84Updated last week
• facebookresearch / any4
  Quantize transformers to any learned arbitrary 4-bit numeric format
  ☆50Updated 5 months ago
• meta-pytorch / BackendBench
  Ship correct and fast LLM kernels to PyTorch
  ☆126Updated this week
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆122Updated last year
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆227Updated last year
• meta-pytorch / tlparse
  TORCH_LOGS parser for PT2
  ☆69Updated last month
• huggingface / kernel-builder
  👷 Build compute kernels
  ☆193Updated this week
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆113Updated 11 months ago
• NVIDIA / free-threaded-python
  No-GIL Python environment featuring NVIDIA Deep Learning libraries.
  ☆69Updated 8 months ago
• facebookexperimental / protoquant
  Prototype routines for GPU quantization written using PyTorch.
  ☆21Updated 4 months ago
• meta-pytorch / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆47Updated 4 months ago
• groq / mlagility
  Machine Learning Agility (MLAgility) benchmark and benchmarking tools
  ☆40Updated 4 months ago
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆90Updated 3 months ago
• gpu-mode / popcorn-cli
  ☆81Updated 2 weeks ago
• ademeure / QuickRunCUDA
  ☆14Updated last month
• NVIDIA / nsight-python
  Nsight Python is a Python kernel profiling interface based on NVIDIA Nsight Tools
  ☆71Updated this week
• open-lm-engine / accelerated-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆65Updated 2 weeks ago
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆410Updated this week
• jax-ml / ml_dtypes
  A stand-alone implementation of several NumPy dtype extensions used in machine learning.
  ☆320Updated this week
• octoml / octoml-profile
  Home for OctoML PyTorch Profiler
  ☆114Updated 2 years ago
• ROCm / iris
  AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming
  ☆133Updated this week
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆25Updated 5 months ago
• axonn-ai / axonn
  Parallel framework for training and fine-tuning deep neural networks
  ☆70Updated last month
• NVIDIA / compute-eval
  Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…
  ☆84Updated last month
• triton-lang / kernels
  ☆97Updated last year
• IST-DASLab / Quartet
  ☆113Updated last month