Alternatives and similar repositories for PyBindToGPUs

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

• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆112Updated last year
• salykova / sgemm.cu
  High-Performance FP32 GEMM on CUDA devices
  ☆117Updated last year
• fabiocannizzo / FastBinarySearch
  Fast and vectorizable algorithms for searching in a vector of sorted floating point numbers
  ☆153Updated last year
• msaroufim / awesome-profiling
  Awesome utilities for performance profiling
  ☆199Updated 11 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆155Updated 2 years ago
• HazyResearch / HipKittens
  Fast and Furious AMD Kernels
  ☆348Updated 2 weeks ago
• simveit / effective_transpose
  Effective transpose on Hopper GPU
  ☆27Updated 5 months ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆151Updated last year
• SzymonOzog / Penny
  Hand-Rolled GPU communications library
  ☆81Updated 2 months ago
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆235Updated 2 weeks ago
• unum-cloud / Resources
  A list of awesome resources and blogs on topics related to Unum
  ☆45Updated 2 months ago
• gpu-mode / kernelbot
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆68Updated this week
• axonn-ai / axonn
  Parallel framework for training and fine-tuning deep neural networks
  ☆70Updated 2 months ago
• nebius / kvax
  A FlashAttention implementation for JAX with support for efficient document mask computation and context parallelism.
  ☆157Updated 2 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆95Updated 10 months ago
• facebookresearch / vector_db_id_compression
  Implementation of the paper "Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search" by Severo et al.
  ☆89Updated 3 weeks ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆197Updated 8 months ago
• drisspg / driss_torch
  Cuda extensions for PyTorch
  ☆12Updated 2 months ago
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆200Updated last week
• eth-easl / mixtera
  A lightweight, user-friendly data-plane for LLM training.
  ☆38Updated 4 months ago
• deepreinforce-ai / CUDA-L2
  CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
  ☆417Updated 3 weeks ago
• GindaChen / FlexFlashAttention3
  FlexAttention w/ FlashAttention3 Support
  ☆27Updated last year
• lianakoleva / no-libtorch-compile
  ☆21Updated 11 months ago
• meta-pytorch / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆49Updated 5 months ago
• vdesai2014 / inference-optimization-blog-post
  ☆92Updated last year
• Libraries-Openly-Fused / FusedKernelLibrary
  We aim to redefine Data Parallel libraries portabiliy, performance, programability and maintainability, by using C++ standard features, i…
  ☆46Updated last week
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 10 months ago
• drkennetz / cuda_examples
  Some CUDA example code with READMEs.
  ☆179Updated 2 months ago
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆63Updated 2 weeks ago
• meta-pytorch / tlparse
  TORCH_TRACE parser for PT2
  ☆75Updated last week