| Name | Version | Summary | date |
| netron |
7.6.0 |
Viewer for neural network, deep learning, and machine learning models |
2024-04-13 03:14:38 |
| onnxruntime-directml |
1.17.3 |
ONNX Runtime is a runtime accelerator for Machine Learning models |
2024-04-12 23:46:11 |
| onnxruntime |
1.17.3 |
ONNX Runtime is a runtime accelerator for Machine Learning models |
2024-04-12 23:45:57 |
| tract |
0.21.2 |
Python bindings for tract, a neural network inference engine |
2024-03-29 14:47:09 |
| spox |
0.10.3 |
A framework for constructing ONNX computational graphs. |
2024-03-14 11:25:43 |
| onnxruntime-cann |
1.18.0 |
ONNX Runtime is a runtime accelerator for Machine Learning models |
2024-03-14 08:08:24 |
| owlite |
0.0.5 |
A fake package to warn the user they are not installing the correct package. |
2024-03-11 10:26:06 |
| onnxruntime-openvino |
1.17.1 |
ONNX Runtime is a runtime accelerator for Machine Learning models |
2024-03-08 14:52:14 |
| sparsify-nightly |
1.7.0.20240304 |
Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint |
2024-03-05 13:38:57 |
| ebm2onnx |
3.1.3 |
EBM model serialization to ONNX |
2024-03-05 09:27:40 |
| onnxsim |
0.4.36 |
Simplify your ONNX model |
2024-03-04 08:25:00 |
| onnx-simplifier |
0.4.36 |
Simplify your ONNX model |
2024-03-04 08:24:55 |
| onnxruntime-training |
1.17.1 |
ONNX Runtime is a runtime accelerator for Machine Learning models |
2024-02-25 20:33:03 |
| onnxruntime-gpu |
1.17.1 |
ONNX Runtime is a runtime accelerator for Machine Learning models |
2024-02-25 08:10:32 |
| hufr |
2.0.1 |
Redact Text with HuggingFace Models |
2024-01-30 07:42:07 |
| onnx-extended |
0.2.4 |
Extends the list of supported operators in onnx reference implementation and onnxruntime, or implements faster versions in C++. |
2024-01-03 18:34:43 |
| onnx-web |
0.12.0 |
web UI for running ONNX models |
2023-12-31 23:25:57 |
| sparsify |
1.6.1 |
Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint |
2023-12-20 14:28:37 |
| sparseml |
1.6.1 |
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models |
2023-12-20 14:24:12 |
| audonnx |
0.7.0 |
Deploy models in ONNX format |
2023-12-18 10:47:30 |