| alexattia/Data-Science-Projects |
623 |
|
0 |
0 |
over 3 years ago |
0 |
|
7 |
|
Jupyter Notebook |
| DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc. |
| 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 |
| semasuka/Credit-card-approval-prediction-classification |
153 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Credit risk analysis for credit card applicants |
| IBM/TabFormer |
144 |
|
0 |
0 |
about 4 years ago |
0 |
|
8 |
apache-2.0 |
Python |
| Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021) |
| yazanobeidi/fraud-detection |
71 |
|
0 |
0 |
about 4 years ago |
0 |
|
14 |
apache-2.0 |
Jupyter Notebook |
| Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook |
| ellisvalentiner/credit-card-fraud |
55 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
mit |
Python |
| Analysis of credit card fraud data |
| nateshmbhat/card-scanner-flutter |
49 |
|
0 |
0 |
almost 5 years ago |
11 |
April 28, 2021 |
13 |
gpl-3.0 |
Swift |
| A flutter package for Fast, Accurate and Secure Credit card & Debit card scanning |
| IBM/xgboost-smote-detect-fraud |
41 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
apache-2.0 |
Jupyter Notebook |
| Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern! |
| hj3yoo/mtg_card_detector |
32 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Python |
| Computer Vision project to detect Magic: The Gathering (TM) playing cards |
| zanussbaum/pluribus |
29 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
|
Python |
| An attempt at a Python implementation of Pluribus, a No-Limits Hold'em Poker Bot |
