Alternatives and similar repositories for minPP

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

• gpu-mode / kernelbot
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆71Updated this week
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆64Updated 3 weeks ago
• NVlabs / vibetensor
  Our first fully AI generated deep learning system
  ☆481Updated last week
• meta-pytorch / BackendBench
  Ship correct and fast LLM kernels to PyTorch
  ☆141Updated 3 weeks ago
• UmerHA / triton_util
  Make triton easier
  ☆50Updated last year
• cchan / tccl
  extensible collectives library in triton
  ☆95Updated 10 months ago
• open-lm-engine / accelerated-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆75Updated last week
• meta-pytorch / superblock
  A block oriented training approach for inference time optimization.
  ☆34Updated last year
• gpu-mode / ring-attention
  ring-attention experiments
  ☆165Updated last year
• GindaChen / FlexFlashAttention3
  FlexAttention w/ FlashAttention3 Support
  ☆27Updated last year
• WaveSpeedAI / QuantumAttention
  [WIP] Better (FP8) attention for Hopper
  ☆32Updated 11 months ago
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 10 months ago
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆226Updated last year
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆26Updated 7 months ago
• Michaelvll / llm-ie-benchmarks
  A collection of reproducible inference engine benchmarks
  ☆38Updated 9 months ago
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆46Updated last year
• AI-Hypercomputer / jetstream-pytorch
  PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
  ☆79Updated last month
• Jokeren / triton-samples
  ☆28Updated last year
• Deep-Learning-Profiling-Tools / triton-viz
  ☆288Updated this week
• deepspeedai / DeepSpeed-Kernels
  ☆71Updated 10 months ago
• octoml / octoml-profile
  Home for OctoML PyTorch Profiler
  ☆113Updated 2 years ago
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆238Updated 3 weeks ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆93Updated last year
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆115Updated last year
• HazyResearch / HipKittens
  Fast and Furious AMD Kernels
  ☆350Updated 2 weeks ago
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels
  ☆194Updated last week
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆429Updated last week
• ezyang / torchdbg
  PyTorch centric eager mode debugger
  ☆48Updated last year
• gpu-mode / profiling-cuda-in-torch
  ☆177Updated 2 years ago
• ademeure / QuickRunCUDA
  ☆15Updated 3 months ago