onnx / steering-committeeLinks
Notes and artifacts from the ONNX steering committee
☆28Updated 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:
- Benchmarks to capture important workloads.☆32Updated last week
- Home for OctoML PyTorch Profiler☆114Updated 2 years ago
- MLPerf™ logging library☆38Updated last month
- Machine Learning Agility (MLAgility) benchmark and benchmarking tools☆40Updated 5 months ago
- A tracing JIT compiler for PyTorch☆13Updated 4 years ago
- Scoreboard for ONNX Backend Compatibility☆29Updated last month
- An experimental CPU backend for Triton (https//github.com/openai/triton)☆48Updated 5 months ago
- benchmarking some transformer deployments☆26Updated last month
- Model compression for ONNX☆99Updated last year
- PyTorch RFCs (experimental)☆137Updated 7 months ago
- ☆135Updated last week
- Repository for ONNX SIG artifacts☆26Updated last week
- python package of rocm-smi-lib☆24Updated last month
- Reference models for Intel(R) Gaudi(R) AI Accelerator☆169Updated last week
- Nod.ai 🦈 version of 👻 . You probably want to start at https://github.com/nod-ai/shark for the product and the upstream IREE repository …☆107Updated last month
- Intel® Extension for DeepSpeed* is an extension to DeepSpeed that brings feature support with SYCL kernels on Intel GPU(XPU) device. Note…☆63Updated 6 months ago
- The Triton backend for the PyTorch TorchScript models.☆170Updated this week
- SynapseAI Core is a reference implementation of the SynapseAI API running on Habana Gaudi☆42Updated 11 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…☆182Updated last month
- TORCH_TRACE parser for PT2☆71Updated this week
- XLA integration of Open Neural Network Exchange (ONNX)☆19Updated 7 years ago
- Collection of scripts to build PyTorch and the domain libraries from source.☆13Updated 2 months ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆158Updated last month
- oneCCL Bindings for Pytorch* (deprecated)☆104Updated 3 weeks ago
- ☆68Updated 2 years ago
- Efficient in-memory representation for ONNX, in Python☆41Updated this week
- ☆71Updated 9 months ago
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆371Updated last week
- Issues related to MLPerf® Inference policies, including rules and suggested changes☆63Updated 2 weeks ago
- LLM training in simple, raw C/CUDA☆110Updated last year