| microsoft/LightGBM |
15,819 |
|
278 |
574 |
about 2 years ago |
34 |
September 12, 2023 |
345 |
mit |
C++ |
| A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. |
| catboost/catboost |
7,564 |
|
0 |
12 |
about 2 years ago |
20 |
September 19, 2023 |
539 |
apache-2.0 |
Python |
| A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. |
| fast-ai-kr/ko-translation |
67 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
mit |
|
| fast.ai 관련, 영문 글들을 번역하고 관리하기 위한 저장소 입니다. |
| RubixML/Housing |
34 |
|
0 |
0 |
almost 4 years ago |
6 |
May 08, 2021 |
0 |
mit |
PHP |
| An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine. |
| napoler/reformer-chinese |
11 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
gpl-3.0 |
Jupyter Notebook |
| reformer-pytorch中文版本，简单高效的生成模型。类似GPT2的效果 |
| airaria/AdversarialAttackInceptionV3 |
8 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| Attack InceptionV3 net using FGM( fast gradient method) and show saliency maps. |
| js-aguiar/home-credit-default-competition |
7 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| Gradient boosting model for predicting credit default risk on Kaggle competition |
| agostontorok/KaggleRossmannChallenge |
5 |
|
0 |
0 |
about 10 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| The slides of our Budapest Data Projects Meetup talk from 25th Febr |
