Alternatives and similar repositories for SnapViewer

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

• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆150Updated last year
• facebookresearch / fastgen
  Simple high-throughput inference library
  ☆154Updated 7 months ago
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels
  ☆179Updated this week
• deepreinforce-ai / CUDA-L2
  CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
  ☆252Updated 2 weeks ago
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 9 months ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆114Updated 11 months ago
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆226Updated this week
• Noumena-Network / nmoe
  MoE training for Me and You and maybe other people
  ☆298Updated 2 weeks ago
• NVIDIA / TileGym
  Helpful kernel tutorials and examples for tile-based GPU programming
  ☆501Updated last week
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆108Updated last year
• NVIDIA / tilus
  Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.
  ☆435Updated 2 weeks ago
• mag- / gpu_benchmark
  Gpu benchmark
  ☆73Updated 11 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆160Updated last year
• HazyResearch / HipKittens
  Fast and Furious AMD Kernels
  ☆324Updated last week
• huggingface / kernel-builder
  👷 Build compute kernels
  ☆196Updated last week
• google / minja
  A minimalistic C++ Jinja templating engine for LLM chat templates
  ☆202Updated 3 months ago
• lianakoleva / no-libtorch-compile
  ☆21Updated 9 months ago
• vdesai2014 / inference-optimization-blog-post
  ☆91Updated last year
• kuterd / opal_ptx
  Experimental GPU language with meta-programming
  ☆24Updated last year
• ScalingIntelligence / good-kernels
  Samples of good AI generated CUDA kernels
  ☆96Updated 7 months ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆154Updated last week
• ScalingIntelligence / tokasaurus
  ☆461Updated last month
• NVIDIA / cuda-tile
  CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-base…
  ☆649Updated last week
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆697Updated this week
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆413Updated 2 weeks ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆131Updated last year
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆61Updated last week
• PrimeIntellect-ai / pccl
  PCCL (Prime Collective Communications Library) implements fault tolerant collective communications over IP
  ☆141Updated 3 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆91Updated 9 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆153Updated 2 years ago