ray-project / pygloo
Pygloo provides Python bindings for Gloo.
☆16Updated 4 months ago
Related projects: ⓘ
- Distributed ML Optimizer☆31Updated 3 years ago
- A library that translates Python and NumPy to optimized distributed systems code.☆131Updated 2 years ago
- PyTorch centric eager mode debugger☆43Updated 2 months ago
- Python bindings for UCX☆120Updated this week
- Extends cloudpickle to dynamically pickle modules from your working directory☆9Updated 5 years ago
- Tracking Ray Enhancement Proposals☆48Updated 3 weeks ago
- A minimal shared memory object store design☆45Updated 7 years ago
- 🏙 Interactive performance profiling and debugging tool for PyTorch neural networks.☆49Updated 3 weeks ago
- hyperparameter management☆43Updated last year
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆145Updated this week
- Ray-based Apache Beam runner☆41Updated last year
- ☆30Updated 2 years ago
- Deadline-based hyperparameter tuning on RayTune.☆31Updated 4 years ago
- WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.☆18Updated 2 years ago
- A tracing JIT compiler for PyTorch☆12Updated 2 years ago
- Better bindings for Python☆17Updated last year
- DL Dataloader Benchmarks☆18Updated 2 weeks ago
- Unified Distributed Execution☆46Updated last week
- Some microbenchmarks and design docs before commencement☆12Updated 3 years ago
- Worked example of the process from Python source to CUDA kernel execution with Numba☆36Updated last week
- ☆15Updated last year
- benchmarking some transformer deployments☆26Updated last year
- ML Input Data Processing as a Service. This repository contains the source code for Cachew (built on top of TensorFlow).☆35Updated last week
- GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU☆17Updated 3 weeks ago
- Repository to go along with the paper "Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines"☆9Updated 2 years ago
- MLPerf™ logging library☆30Updated last week
- An Aspiring Drop-In Replacement for Pandas at Scale☆73Updated 2 years ago
- Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …☆61Updated 2 years ago
- Home for OctoML PyTorch Profiler☆105Updated last year
- KvikIO - High Performance File IO☆148Updated this week