| keras-team/keras |
60,198 |
|
0 |
697 |
about 2 years ago |
87 |
December 06, 2023 |
183 |
apache-2.0 |
Python |
| Deep Learning for humans |
| donnemartin/data-science-ipython-notebooks |
25,668 |
|
0 |
0 |
over 2 years ago |
0 |
|
34 |
other |
Python |
| Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. |
| 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 |
| eriklindernoren/Keras-GAN |
8,842 |
|
0 |
0 |
over 3 years ago |
0 |
|
142 |
mit |
Python |
| Keras implementations of Generative Adversarial Networks. |
| jeffheaton/t81_558_deep_learning |
5,590 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
other |
Jupyter Notebook |
| T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis |
| keras-rl/keras-rl |
5,348 |
|
51 |
3 |
over 3 years ago |
8 |
June 01, 2018 |
43 |
mit |
Python |
| Deep Reinforcement Learning for Keras. |
| transcranial/keras-js |
4,879 |
|
31 |
8 |
almost 4 years ago |
7 |
February 09, 2018 |
83 |
mit |
JavaScript |
| Run Keras models in the browser, with GPU support using WebGL |
| idealo/image-super-resolution |
4,392 |
|
0 |
0 |
over 2 years ago |
0 |
|
106 |
apache-2.0 |
Python |
| 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks. |
