onnx / steering-committeeLinks
Notes and artifacts from the ONNX steering committee
☆26Updated last week
Alternatives and similar repositories for steering-committee
Users that are interested in steering-committee are comparing it to the libraries listed below
Sorting:
- Scoreboard for ONNX Backend Compatibility☆29Updated last week
- A tracing JIT compiler for PyTorch☆13Updated 3 years ago
- Repository for ONNX SIG artifacts☆23Updated last month
- Benchmarks to capture important workloads.☆31Updated 9 months ago
- Repository for ONNX working group artifacts☆28Updated 3 weeks ago
- Efficient in-memory representation for ONNX, in Python☆30Updated this week
- Home for OctoML PyTorch Profiler☆114Updated 2 years ago
- MLPerf™ logging library☆37Updated 2 weeks ago
- Machine Learning Agility (MLAgility) benchmark and benchmarking tools☆40Updated 3 months ago
- Collection of scripts to build PyTorch and the domain libraries from source.☆12Updated 2 weeks ago
- Nod.ai 🦈 version of 👻 . You probably want to start at https://github.com/nod-ai/shark for the product and the upstream IREE repository …☆106Updated 9 months ago
- torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…☆181Updated 2 months ago
- A tracing JIT for PyTorch☆17Updated 3 years ago
- PyTorch RFCs (experimental)☆135Updated 5 months ago
- XLA integration of Open Neural Network Exchange (ONNX)☆19Updated 7 years ago
- PyTorch interface for the IPU☆181Updated 2 years ago
- NVIDIA's launch, startup, and logging scripts used by our MLPerf Training and HPC submissions☆32Updated last month
- An IR for efficiently simulating distributed ML computation.☆30Updated last year
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated last year
- TORCH_LOGS parser for PT2☆62Updated last month
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆358Updated this week
- ONNX Serving is a project written with C++ to serve onnx-mlir compiled models with GRPC and other protocols.Benefiting from C++ implement…☆25Updated last month
- An experimental CPU backend for Triton (https//github.com/openai/triton)☆45Updated 2 months ago
- Ahead of Time (AOT) Triton Math Library☆80Updated last week
- ☆68Updated 2 years ago
- SynapseAI Core is a reference implementation of the SynapseAI API running on Habana Gaudi☆43Updated 8 months ago
- oneCCL Bindings for Pytorch*☆102Updated 2 months ago
- Model compression for ONNX☆97Updated 11 months ago
- benchmarking some transformer deployments☆26Updated 2 years ago
- ☆126Updated this week