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
  ☆1,508Updated 4 months ago
• gpu-mode / lectures
  Material for gpu-mode lectures
  ☆4,075Updated last month
• siboehm / SGEMM_CUDA
  Fast CUDA matrix multiplication from scratch
  ☆663Updated last year
• tspeterkim / flash-attention-minimal
  Flash Attention in ~100 lines of CUDA (forward pass only)
  ☆732Updated 2 months ago
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆730Updated last month
• HazyResearch / ThunderKittens
  Tile primitives for speedy kernels
  ☆2,153Updated this week
• srush / LLM-Training-Puzzles
  What would you do with 1000 H100s...
  ☆1,016Updated last year
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆524Updated last month
• olcf / cuda-training-series
  Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
  ☆721Updated 7 months ago
• clu0 / unet.cu
  UNet diffusion model in pure CUDA
  ☆600Updated 8 months ago
• HazyResearch / aisys-building-blocks
  Building blocks for foundation models.
  ☆464Updated last year
• huggingface / picotron
  Minimalistic 4D-parallelism distributed training framework for education purpose
  ☆935Updated 2 weeks ago
• pytorch / ao
  PyTorch native quantization and sparsity for training and inference
  ☆1,913Updated this week
• flashinfer-ai / flashinfer
  FlashInfer: Kernel Library for LLM Serving
  ☆2,439Updated this week
• mirage-project / mirage
  Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA
  ☆769Updated this week
• R100001 / Programming-Massively-Parallel-Processors
  ☆139Updated 7 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆149Updated last year
• NVIDIA / TransformerEngine
  A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs…
  ☆2,293Updated this week
• Lightning-AI / lightning-thunder
  Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors a…
  ☆1,310Updated this week
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆306Updated last week
• PacktPublishing / Learn-CUDA-Programming
  Learn CUDA Programming, published by Packt
  ☆1,120Updated last year
• mlops-discord / gpu-optimization-workshop
  Slides, notes, and materials for the workshop
  ☆320Updated 9 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆204Updated 2 months ago
• CisMine / Parallel-Computing-Cuda-C
  CUDA Learning guide
  ☆340Updated 9 months ago
• pytorch / PiPPy
  Pipeline Parallelism for PyTorch
  ☆757Updated 7 months ago
• huggingface / nanotron
  Minimalistic large language model 3D-parallelism training
  ☆1,701Updated this week
• Liu-xiandong / How_to_optimize_in_GPU
  This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…
  ☆960Updated last year
• hidet-org / hidet
  An open-source efficient deep learning framework/compiler, written in python.
  ☆691Updated 3 weeks ago