microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
About the project
Cross-platform accelerator for ML inference and training. Runs models from PyTorch, TensorFlow, scikit-learn and others via the ONNX format with graph optimizations and hardware acceleration.
Useful for
- Run inference of a PyTorch model on CPU or GPU via ONNX Runtime
- Speed up transformer training on multi-node NVIDIA GPUs with a one-line change to a PyTorch script
- Deploy a scikit-learn or XGBoost model in production with hardware acceleration
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 8 stars so far today, about 10 expected by the end of the day.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 21,888
- Stars in a day
- 10
- Forks
- 4,234
- Issues and pull requests
- 29,215
- Watchers
- 264
- Language
- C++
- License
- MIT
- Latest release
- v1.30.0 · September 10, 2026
- Created
- November 10, 2018
- Last push
- September 18, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 16, 2026GitHub Trending C++ today: #13, +10 stars
- September 15, 2026GitHub Trending C++ today: #13, +10 stars
Share
README badge
Paste it into your README — the badge shows the current magnitude and links to this page.
[](https://gitnova.dev/en/r/microsoft/onnxruntime)Similar projects
-
8.6
TheoLeeCJ/SemIf
An open reproduction of the Jev-style semantic decision interface: reads typed option probabilities directly from a 4B model's logits without generating text. Runs on a single RTX 3090.
-
7.1
vinnylarouge/jevlike
A small trainable model that picks one option from a changing list of text options in a single forward pass, an open alternative to TypeSafe's Jev. Aimed at developers who need fast classification or menu selection…
-
6.9
Continuum-AI-Corp/OrcaBonsai-27B-Uncensored
A tool for runtime refusal ablation in the compressed Ternary Bonsai 2 27B LLM: it projects the residual stream to remove the refusal direction without modifying or re-quantizing weights. Runs on Apple Silicon via MLX.
-
6.4
TianyuCodings/NanoJev
A nano replica of Jev built on Qwen3-0.6B that outputs probability distributions over candidates in a single forward pass with no token decoding, plus a training pipeline and game demos (maze, Snake).
-
6.3
zhengkid/Dream-RSI
Research project on recursive self-improvement: past discovery histories become a replay simulator used to evaluate and refine exploration policies. Code is still being prepared; paper and demo are available.
-
5.0
ekzhang/openjev-sglang
HTTP server implementing the TypeSafe/Jev API for structured text classification on Qwen3.6-35B-A3B via SGLang; returns answer probabilities without generating a chain of thought.