| tensorflow/tensorflow |
180,196 |
|
327 |
78 |
about 2 years ago |
46 |
October 23, 2019 |
2,049 |
apache-2.0 |
C++ |
| An Open Source Machine Learning Framework for Everyone |
| 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 |
| aymericdamien/TensorFlow-Examples |
43,109 |
|
0 |
0 |
about 2 years ago |
0 |
|
218 |
other |
Jupyter Notebook |
| TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) |
| 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. |
| 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 |
| ageron/handson-ml |
25,036 |
|
0 |
0 |
over 2 years ago |
0 |
|
140 |
apache-2.0 |
Jupyter Notebook |
| ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead. |
| deezer/spleeter |
24,258 |
|
0 |
6 |
over 2 years ago |
37 |
June 10, 2022 |
227 |
mit |
Python |
| Deezer source separation library including pretrained models. |
