Project Name	Stars	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Catboost	7,564	12	3 months 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.
Chefboost	428		4 months ago	17	February 16, 2022		mit	Python
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python
Ko Translation	67		2 years ago			1	mit
fast.ai 관련, 영문 글들을 번역하고 관리하기 위한 저장소 입니다.
Housing	34		2 years ago	6	May 08, 2021		mit	PHP
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
Reformer Chinese	11		3 years ago			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
Adversarialattackinceptionv3	8		6 years ago					Python
Attack InceptionV3 net using FGM( fast gradient method) and show saliency maps.
Home Credit Default Competition	7		3 years ago				mit	Python
Gradient boosting model for predicting credit default risk on Kaggle competition
Kagglerossmannchallenge	5		8 years ago				mit	Jupyter Notebook
The slides of our Budapest Data Projects Meetup talk from 25th Febr

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Catboost ⭐ 7,564

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.

dependent packages 12total releases 20most recent commit 3 months ago

Chefboost ⭐ 428

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

total releases 17most recent commit 4 months ago

Ko Translation ⭐ 67

most recent commit 2 years ago

Housing ⭐ 34

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

total releases 6most recent commit 2 years ago

Reformer Chinese ⭐ 11

reformer-pytorch中文版本，简单高效的生成模型。类似GPT2的效果

most recent commit 3 years ago

Adversarialattackinceptionv3 ⭐ 8

Attack InceptionV3 net using FGM( fast gradient method) and show saliency maps.

most recent commit 6 years ago

Home Credit Default Competition ⭐ 7

Gradient boosting model for predicting credit default risk on Kaggle competition

most recent commit 3 years ago

Kagglerossmannchallenge ⭐ 5

The slides of our Budapest Data Projects Meetup talk from 25th Febr

most recent commit 8 years ago

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