| lutzroeder/netron |
25,287 |
|
4 |
70 |
about 2 years ago |
610 |
December 09, 2023 |
27 |
mit |
JavaScript |
| Visualizer for neural network, deep learning and machine learning models |
| Tencent/ncnn |
18,693 |
|
0 |
1 |
about 2 years ago |
26 |
October 27, 2023 |
1,010 |
other |
C++ |
| ncnn is a high-performance neural network inference framework optimized for the mobile platform |
| onnx/onnx |
16,275 |
|
148 |
493 |
about 2 years ago |
31 |
October 26, 2023 |
296 |
apache-2.0 |
Python |
| Open standard for machine learning interoperability |
| microsoft/onnxruntime |
11,668 |
|
8 |
88 |
about 2 years ago |
39 |
November 20, 2023 |
2,222 |
mit |
C++ |
| ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator |
| ufoym/deepo |
6,312 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
mit |
Python |
| Setup and customize deep learning environment in seconds. |
| microsoft/MMdnn |
5,767 |
|
3 |
0 |
over 2 years ago |
10 |
July 24, 2020 |
333 |
mit |
Python |
| MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. |
| OAID/Tengine |
4,452 |
|
0 |
0 |
over 2 years ago |
0 |
|
244 |
apache-2.0 |
C++ |
| Tengine is a lite, high performance, modular inference engine for embedded device |
| Tencent/TNN |
4,210 |
|
0 |
0 |
about 2 years ago |
0 |
|
298 |
other |
C++ |
| TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. |
| snakers4/silero-models |
4,088 |
|
0 |
4 |
over 2 years ago |
4 |
June 12, 2022 |
8 |
other |
Jupyter Notebook |
| Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple |
| ysh329/deep-learning-model-convertor |
3,197 |
|
0 |
0 |
almost 3 years ago |
0 |
|
2 |
|
|
| The convertor/conversion of deep learning models for different deep learning frameworks/softwares. |
