Alternatives and similar repositories for monarch

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

• meta-pytorch / torchft
  Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
  ☆475Updated last week
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆739Updated this week
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆843Updated 2 weeks ago
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆876Updated last week
• facebookresearch / HolisticTraceAnalysis
  A library to analyze PyTorch traces.
  ☆462Updated last week
• thinking-machines-lab / batch_invariant_ops
  ☆961Updated 3 months ago
• meta-pytorch / torchforge
  PyTorch-native post-training at scale
  ☆613Updated this week
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)
  ☆792Updated 3 weeks ago
• NVIDIA / TileGym
  Helpful kernel tutorials and examples for tile-based GPU programming
  ☆630Updated this week
• HazyResearch / Megakernels
  kernels, of the mega variety
  ☆665Updated last week
• huggingface / gpu-fryer
  Where GPUs get cooked 👩‍🍳🔥
  ☆363Updated 2 weeks ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆397Updated this week
• meta-pytorch / torchcomms
  torchcomms: a modern PyTorch communications API
  ☆327Updated this week
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆781Updated this week
• microsoft / dion
  Dion optimizer algorithm
  ☆431Updated 3 weeks ago
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆334Updated 3 months ago
• facebookresearch / spdl
  Scalable and Performant Data Loading
  ☆364Updated last week
• perplexityai / pplx-garden
  Perplexity open source garden for inference technology
  ☆359Updated last month
• perplexityai / pplx-kernels
  Perplexity GPU Kernels
  ☆560Updated 3 months ago
• radixark / miles
  Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
  ☆830Updated last week
• huggingface / kernel-builder
  👷 Build compute kernels
  ☆215Updated 2 weeks ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆595Updated 5 months ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆280Updated 2 months ago
• rwitten / HighPerfLLMs2024
  ☆562Updated last year
• NVIDIA-NeMo / RL
  Scalable toolkit for efficient model reinforcement
  ☆1,293Updated this week
• Dao-AILab / sonic-moe
  Accelerating MoE with IO and Tile-aware Optimizations
  ☆569Updated 3 weeks ago
• pyember / ember
  ☆237Updated last month
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆155Updated 2 years ago
• huggingface / picotron_tutorial
  ☆232Updated 2 months ago
• MoonshotAI / checkpoint-engine
  Checkpoint-engine is a simple middleware to update model weights in LLM inference engines
  ☆902Updated last week