microsoft / onnxruntime-training-examplesLinks
Examples for using ONNX Runtime for model training.
☆338Updated 7 months ago
Alternatives and similar repositories for onnxruntime-training-examples
Users that are interested in onnxruntime-training-examples are comparing it to the libraries listed below
Sorting:
- onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime☆393Updated this week
- Common utilities for ONNX converters☆272Updated 6 months ago
- ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.☆358Updated this week
- Accelerate PyTorch models with ONNX Runtime☆362Updated 3 months ago
- The Triton backend for the ONNX Runtime.☆152Updated this week
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆477Updated last week
- ONNX Optimizer☆721Updated last week
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆473Updated this week
- Generative AI extensions for onnxruntime☆740Updated this week
- Common source, scripts and utilities for creating Triton backends.☆327Updated this week
- A GPU performance profiling tool for PyTorch models☆503Updated 3 years ago
- Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.☆204Updated 2 months ago
- Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.☆627Updated last week
- ONNXMLTools enables conversion of models to ONNX☆1,088Updated last week
- PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.☆801Updated 4 months ago
- Transform ONNX model to PyTorch representation☆338Updated 7 months ago
- The Triton backend for the PyTorch TorchScript models.☆152Updated this week
- Convert scikit-learn models and pipelines to ONNX☆587Updated 3 weeks ago
- A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.☆821Updated this week
- ☆411Updated last year
- Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.☆619Updated last week
- Convert tf.keras/Keras models to ONNX☆379Updated 3 years ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,051Updated last year
- Dockerfiles and scripts for ONNX container images☆137Updated 2 years ago
- Provide Python access to the NVML library for GPU diagnostics☆240Updated 6 months ago
- LLaMa/RWKV onnx models, quantization and testcase☆363Updated last year
- The Triton backend for TensorRT.☆75Updated this week
- Scailable ONNX python tools☆97Updated 7 months ago
- The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.☆135Updated 2 weeks ago
- Python 3 Bindings for the NVIDIA Management Library☆139Updated 11 months ago