Alternatives and similar repositories for resource-stream

Users that are interested in resource-stream are comparing it to the libraries listed below

• srush / Triton-Puzzles
  Puzzles for learning Triton
  ☆2,036Updated 11 months ago
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆917Updated 9 months ago
• siboehm / SGEMM_CUDA
  Fast CUDA matrix multiplication from scratch
  ☆908Updated last month
• HazyResearch / ThunderKittens
  Tile primitives for speedy kernels
  ☆2,838Updated last week
• srush / LLM-Training-Puzzles
  What would you do with 1000 H100s...
  ☆1,113Updated last year
• tspeterkim / flash-attention-minimal
  Flash Attention in ~100 lines of CUDA (forward pass only)
  ☆953Updated 9 months ago
• olcf / cuda-training-series
  Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
  ☆877Updated last year
• gpu-mode / lectures
  Material for gpu-mode lectures
  ☆5,197Updated last month
• R100001 / Programming-Massively-Parallel-Processors
  ☆193Updated last year
• HazyResearch / aisys-building-blocks
  Building blocks for foundation models.
  ☆566Updated last year
• CisMine / Parallel-Computing-Cuda-C
  CUDA Learning guide
  ☆455Updated last year
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆578Updated 2 months ago
• huggingface / picotron
  Minimalistic 4D-parallelism distributed training framework for education purpose
  ☆1,863Updated last month
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆421Updated 7 months ago
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆658Updated this week
• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆519Updated 5 months ago
• mirage-project / mirage
  Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
  ☆1,891Updated this week
• rwitten / HighPerfLLMs2024
  ☆541Updated last year
• pytorch / ao
  PyTorch native quantization and sparsity for training and inference
  ☆2,438Updated this week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆233Updated 5 months ago
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆388Updated 3 years ago
• Infatoshi / cuda-course
  ☆1,623Updated last week
• NVIDIA / TransformerEngine
  A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…
  ☆2,834Updated this week
• rkinas / cuda-learning
  This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…
  ☆397Updated 8 months ago
• NVIDIA / accelerated-computing-hub
  NVIDIA curated collection of educational resources related to general purpose GPU programming.
  ☆779Updated this week
• Jokeren / Awesome-GPU
  Awesome resources for GPUs
  ☆599Updated 2 years ago
• Lightning-AI / lightning-thunder
  PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily wri…
  ☆1,415Updated this week
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆377Updated last month
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆191Updated 2 years ago
• minitorch / minitorch
  The full minitorch student suite.
  ☆2,205Updated last year