| tensorflow/model-card-toolkit |
381 |
|
0 |
1 |
over 2 years ago |
12 |
April 28, 2022 |
5 |
apache-2.0 |
Python |
| A toolkit that streamlines and automates the generation of model cards |
| DeepMark/deepmark |
363 |
|
0 |
0 |
over 9 years ago |
0 |
|
4 |
apache-2.0 |
Lua |
| THE Deep Learning Benchmarks |
| curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras |
289 |
|
0 |
0 |
almost 7 years ago |
0 |
|
5 |
mit |
Jupyter Notebook |
| iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data |
| mesutpiskin/id-card-detector |
175 |
|
0 |
0 |
about 4 years ago |
0 |
|
16 |
mit |
Python |
| :credit_card: Detecting the National Identification Cards with Deep Learning (Faster R-CNN) |
| symisc/pixlab |
105 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
bsd-2-clause |
Java |
| PixLab Resources & Code Samples |
| AdivarekarBhumit/ID-Card-Segmentation |
42 |
|
0 |
0 |
over 6 years ago |
0 |
|
4 |
mit |
Python |
| Segmentation of ID Cards using Semantic Segmentation |
| tomwhite/set-game |
23 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
apache-2.0 |
Java |
| Play SET using image recognition and deep learning |
| verifid/mocr |
19 |
|
0 |
0 |
about 5 years ago |
6 |
October 17, 2020 |
0 |
mit |
Python |
| Meaningful Optical Character Recognition from identity cards with Deep Learning. |
| 0xDaksh/Credit-Card-Fraud |
17 |
|
0 |
0 |
about 7 years ago |
0 |
|
|
mit |
Jupyter Notebook |
| Praneet9/Docify |
12 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| A service for extracting text from ID cards in India, like Aadhar Card, PAN Card and Driving Licence. You just need to click and send a picture of the card to the API and get a json with your details. It was built using Flask, Deep Learning and Image Processing. It also uses Connectionist Text Proposal Network (Open Source) along with Tesseract for text extraction. |
