catboost
There are 585 repositories under catboost topic.
catboost/catboost
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.
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
benedekrozemberczki/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
catboost/tutorials
CatBoost tutorials repository
benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
HunterMcGushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
HuangCongQing/AI_competitions
AI比赛相关信息汇总
Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
yzkang/My-Data-Competition-Experience
本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢
DataCanvasIO/HyperGBM
A full pipeline AutoML tool for tabular data
aws-samples/amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples
aws-samples/aws-machine-learning-university-dte
Machine Learning University: Decision Trees and Ensemble Methods
AdrianAntico/AutoQuant
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
catboost/benchmarks
Comparison tools
sharmapratik88/AIML-Projects
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
StatMixedML/CatBoostLSS
An extension of CatBoost to probabilistic modelling
duoan/ijcai18-mama-ads-competition
IJCAI-18 阿里妈妈搜索广告转化预测初赛方案
xiaodaigh/JLBoost.jl
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
jianzhnie/AutoTabular
Automatic machine learning for tabular data. ⚡🔥⚡
auto-flow/auto-flow
AutoFlow : Automatic machine learning workflow modeling platform
bsharchilev/influence_boosting
Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
erdogant/hgboost
hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.
ashishpatel26/datascienv
datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
lamres/orderbook_modeling
Example of order book modeling.
dc-aichara/DS-ML-Public
Python Scripts and Jupyter Notebooks
grtvishnu/Air-Pollution-Prediction-and-Forecasting
:octocat: Detection and Prediction of Air quality Index :octocat:
sharmaroshan/HR-Analytics
Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.
Doodies/Github-Stars-Predictor
It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.
federicoparroni/recsys2019
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
KwokHing/YandexCatBoost-Python-Demo
Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset
TomerRonen34/treeboost_autograd
Easy Custom Losses for Tree Boosters using Pytorch
TsLu1s/TSForecasting
TSForecasting: Automated Time Series Forecasting Framework
nanxstats/stackgbm
🌳 Stacked Gradient Boosting Machines
junjiedong/Zillow-Kaggle
Solution for Zillow’s Home Value Prediction Competition on Kaggle
viktorsapozhok/earthquake-prediction
Kaggle LANL Earthquake Prediction challenge, Genetic Algorithm (DEAP) + CatboostRegressor, private score 2.425 (31 place)
ds-wook/ai-hackathon
🏆데이콘 AI해커톤 대회 우수상 솔루션🏆