meta-pytorch / monarchLinks
PyTorch Single Controller
☆939Updated this week
Alternatives and similar repositories for monarch
Users that are interested in monarch are comparing it to the libraries listed below
Sorting:
- Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)☆465Updated 2 weeks ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆703Updated last week
- Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs☆801Updated this week
- Helpful kernel tutorials and examples for tile-based GPU programming☆526Updated this week
- torchcomms: a modern PyTorch communications API☆319Updated this week
- A library to analyze PyTorch traces.☆453Updated 3 weeks ago
- PyTorch-native post-training at scale☆584Updated this week
- Scalable and Performant Data Loading☆360Updated last week
- kernels, of the mega variety☆640Updated 3 months ago
- Where GPUs get cooked 👩🍳🔥☆345Updated 3 months ago
- LLM KV cache compression made easy☆740Updated 3 weeks ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)☆732Updated this week
- ☆945Updated 2 months ago
- Load compute kernels from the Hub☆357Updated 3 weeks ago
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆329Updated 2 months ago
- A Quirky Assortment of CuTe Kernels☆741Updated this week
- Perplexity open source garden for inference technology☆324Updated 2 weeks ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆590Updated 4 months ago
- Perplexity GPU Kernels☆548Updated 2 months ago
- Dion optimizer algorithm☆413Updated this week
- 👷 Build compute kernels☆198Updated 2 weeks ago
- JAX backend for SGL☆211Updated this week
- JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs wel…☆398Updated 6 months ago
- Simple MPI implementation for prototyping or learning☆297Updated 5 months ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆154Updated 2 years ago
- CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-base…☆740Updated 2 weeks ago