| d2l-ai/d2l-en |
20,613 |
|
0 |
0 |
over 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. |
| huggingface/datasets |
17,925 |
|
9 |
760 |
over 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 |
| virgili0/Virgilio |
13,515 |
|
0 |
0 |
almost 4 years ago |
0 |
|
20 |
other |
Jupyter Notebook |
| Your new Mentor for Data Science E-Learning. |
| davidsandberg/facenet |
13,133 |
|
0 |
0 |
almost 3 years ago |
0 |
|
541 |
mit |
Python |
| Face recognition using Tensorflow |
| NVIDIA/DeepLearningExamples |
12,073 |
|
0 |
0 |
over 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. |
| opencv/cvat |
10,831 |
|
0 |
3 |
over 2 years ago |
23 |
November 27, 2023 |
504 |
mit |
TypeScript |
| Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. |
| roboflow/supervision |
9,320 |
|
0 |
57 |
over 2 years ago |
43 |
December 08, 2023 |
74 |
mit |
Python |
| We write your reusable computer vision tools. 💜 |
| aamini/introtodeeplearning |
6,704 |
|
0 |
0 |
over 2 years ago |
0 |
|
57 |
mit |
Jupyter Notebook |
| Lab Materials for MIT 6.S191: Introduction to Deep Learning |
| hybridgroup/gocv |
5,973 |
|
0 |
154 |
over 2 years ago |
54 |
October 12, 2023 |
302 |
other |
Go |
| Go package for computer vision using OpenCV 4 and beyond. |
| dragen1860/TensorFlow-2.x-Tutorials |
5,496 |
|
0 |
0 |
almost 6 years ago |
0 |
|
24 |
|
Jupyter Notebook |
| TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。 |
