Alternatives and similar repositories for pygloo

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

• ray-project / enhancements
  Tracking Ray Enhancement Proposals
  ☆53Updated 3 months ago
• ray-project / distml
  Distributed ML Optimizer
  ☆32Updated 3 years ago
• pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆158Updated 3 weeks ago
• rapidsai / ucx-py
  Python bindings for UCX
  ☆137Updated last week
• nums-project / nums
  A library that translates Python and NumPy to optimized distributed systems code.
  ☆132Updated 2 years ago
• ray-project / plasma
  A minimal shared memory object store design
  ☆53Updated 8 years ago
• coreweave / ml-containers
  ☆37Updated this week
• ryantd / veloce
  WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.
  ☆18Updated 2 years ago
• Jokeren / triton-samples
  ☆28Updated 5 months ago
• CentML / DeepView.Profile
  🏙 Interactive performance profiling and debugging tool for PyTorch neural networks.
  ☆62Updated 5 months ago
• octoml / octoml-profile
  Home for OctoML PyTorch Profiler
  ☆113Updated 2 years ago
• ezyang / torchdbg
  PyTorch centric eager mode debugger
  ☆47Updated 6 months ago
• IBM / pytorch-communication-benchmarks
  pytorch code examples for measuring the performance of collective communication calls in AI workloads
  ☆18Updated 8 months ago
• ucbrise / hypersched
  Deadline-based hyperparameter tuning on RayTune.
  ☆31Updated 5 years ago
• foundation-model-stack / fastsafetensors
  High-performance safetensors model loader
  ☆46Updated 2 weeks ago
• Michaelvll / llm-ie-benchmarks
  A collection of reproducible inference engine benchmarks
  ☆32Updated 2 months ago
• ray-project / ray_beam_runner
  Ray-based Apache Beam runner
  ☆42Updated last year
• facebookresearch / fairring
  Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …
  ☆65Updated 3 years ago
• feature-store / ralf
  ☆30Updated 2 years ago
• ray-project / ray_shuffling_data_loader
  A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed tra…
  ☆18Updated 2 years ago
• eth-easl / cachew
  ML Input Data Processing as a Service. This repository contains the source code for Cachew (built on top of TensorFlow).
  ☆39Updated 10 months ago
• run-ai / rntop
  A top-like tool for monitoring GPUs in a cluster
  ☆85Updated last year
• tensorchord / inference-benchmark
  Benchmark for machine learning model online serving (LLM, embedding, Stable-Diffusion, Whisper)
  ☆28Updated 2 years ago
• cisco-open / pymultiworld
  A framework for PyTorch to enable fault management for collective communication libraries (CCL) such as NCCL
  ☆19Updated 2 weeks ago
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆57Updated 2 years ago
• nod-ai / transformer-benchmarks
  benchmarking some transformer deployments
  ☆26Updated 2 years ago
• NVIDIA / cuEmbed
  CUDA Embedding Lookup Kernel Library
  ☆15Updated last month
• microsoft / varuna
  ☆251Updated 11 months ago
• eth-easl / mixtera
  A lightweight, user-friendly data-plane for LLM training.
  ☆20Updated 2 weeks ago
• eth-easl / modyn
  Modyn is a research-platform for training ML models on growing datasets.
  ☆48Updated last month