mlcommons / mlcube
MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.
☆154Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for mlcube
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆332Updated this week
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆146Updated 2 weeks ago
- Issues related to MLPerf™ training policies, including rules and suggested changes☆93Updated last month
- PyTorch RFCs (experimental)☆130Updated 2 months ago
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆89Updated 7 months ago
- Productionize machine learning predictions, with ONNX or without☆66Updated 10 months ago
- ☆236Updated 3 months ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆468Updated 2 years ago
- Deadline-based hyperparameter tuning on RayTune.☆31Updated 4 years ago
- Notes and artifacts from the ONNX steering committee☆25Updated last week
- TensorFlow-nGraph bridge☆137Updated 3 years ago
- 🌻 Flow with FlorDB☆151Updated 2 months ago
- Python bindings for UCX☆121Updated this week
- A tensor-aware point-to-point communication primitive for machine learning☆249Updated last year
- Home for OctoML PyTorch Profiler☆107Updated last year
- MLPerf™ logging library☆30Updated last week
- This repository contains example integrations between Determined and other ML products☆47Updated 7 months ago
- MLOps Python Library☆116Updated 2 years ago
- RAPIDS GPU-BDB☆107Updated 8 months ago
- Simple Distributed Deep Learning on TensorFlow☆134Updated 2 years ago
- A library to analyze PyTorch traces.☆307Updated this week
- Python bindings for NVTX☆66Updated last year
- Resource-adaptive cluster scheduler for deep learning training.☆426Updated last year
- Benchmarks to capture important workloads.☆28Updated 5 months ago
- The Triton backend for the PyTorch TorchScript models.☆127Updated this week
- Tools to deploy GPU clusters in the Cloud☆30Updated last year
- Torch Distributed Experimental☆116Updated 3 months ago
- Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)☆64Updated 2 months ago
- GraphDef Editor: A port of the TensorFlow contrib.graph_editor package that operates over serialized graphs☆31Updated 2 years ago