| 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 |
| d2l-ai/d2l-en |
20,613 |
|
0 |
0 |
about 2 years ago |
2 |
November 13, 2022 |
115 |
other |
Python |
| Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. |
| 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 |
| unifyai/ivy |
13,904 |
|
2 |
7 |
about 2 years ago |
103 |
October 11, 2023 |
1,203 |
other |
Python |
| The Unified AI Framework |
| horovod/horovod |
13,755 |
|
20 |
16 |
about 2 years ago |
77 |
June 12, 2023 |
372 |
other |
Python |
| Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. |
| NVIDIA/DeepLearningExamples |
12,073 |
|
0 |
0 |
about 2 years ago |
0 |
|
295 |
|
Jupyter Notebook |
| State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. |
| Mikoto10032/DeepLearning |
7,463 |
|
0 |
0 |
almost 4 years ago |
0 |
|
8 |
apache-2.0 |
Jupyter Notebook |
| 深度学习入门教程, 优秀文章, Deep Learning Tutorial |
| 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. |
