| huggingface/transformers |
119,240 |
|
64 |
2,484 |
about 2 years ago |
125 |
November 15, 2023 |
946 |
apache-2.0 |
Python |
| 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. |
| keras-team/keras |
60,198 |
|
0 |
697 |
about 2 years ago |
87 |
December 06, 2023 |
183 |
apache-2.0 |
Python |
| Deep Learning for humans |
| CorentinJ/Real-Time-Voice-Cloning |
49,550 |
|
0 |
0 |
about 2 years ago |
0 |
|
187 |
other |
Python |
| Clone a voice in 5 seconds to generate arbitrary speech in real-time |
| ray-project/ray |
29,596 |
|
80 |
363 |
about 2 years ago |
95 |
December 04, 2023 |
3,528 |
apache-2.0 |
Python |
| Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. |
| 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 |
| huggingface/datasets |
17,925 |
|
9 |
760 |
about 2 years ago |
76 |
November 16, 2023 |
665 |
apache-2.0 |
Python |
| 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools |
| 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 |
| rasbt/deeplearning-models |
16,142 |
|
0 |
0 |
about 2 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| A collection of various deep learning architectures, models, and tips |