Alternatives and similar repositories for monarch

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

• pytorch / torchft
  Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
  ☆404Updated last week
• huggingface / kernels
  Load compute kernels from the Hub
  ☆287Updated this week
• huggingface / picotron_tutorial
  ☆220Updated 7 months ago
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆276Updated last month
• thinking-machines-lab / batch_invariant_ops
  ☆725Updated 2 weeks ago
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆573Updated last week
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆194Updated 3 months ago
• facebookresearch / spdl
  Scalable and Performant Data Loading
  ☆304Updated this week
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆142Updated last year
• microsoft / dion
  Dion optimizer algorithm
  ☆347Updated this week
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆268Updated 2 months ago
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆613Updated this week
• huggingface / kernel-builder
  👷 Build compute kernels
  ☆147Updated this week
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆576Updated last month
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆582Updated this week
• pyember / ember
  ☆224Updated 3 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆237Updated last week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆152Updated 11 months ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆296Updated last month
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆623Updated last week
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆371Updated last week
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆307Updated last week
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆279Updated last month
• rwitten / HighPerfLLMs2024
  ☆535Updated last year
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆212Updated last week
• apple / ml-recurrent-drafter
  ☆217Updated 8 months ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆84Updated this week
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆57Updated this week
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆294Updated last month
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆260Updated 2 weeks ago