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117 search results found

Mljar Supervised ⭐ 2,867

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

M2cgen ⭐ 2,411

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Awesome Decision Tree Papers ⭐ 2,266

A collection of research papers on decision, classification and regression trees with implementations.

Auto_ml ⭐ 1,442

[UNMAINTAINED] Automated machine learning for analytics & production

Mlbox ⭐ 1,403

MLBox is a powerful Automated Machine Learning python library.

Alphapy ⭐ 1,003

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Xorbits ⭐ 946

Scalable Python DS & ML, in an API compatible & lightning fast way.

Awesome Gradient Boosting Papers ⭐ 930

A curated list of gradient boosting research papers with implementations.

Skforecast ⭐ 792

Time series forecasting with scikit-learn models

Hyperparameter_hunter ⭐ 635

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Mlforecast ⭐ 635

Scalable machine 🤖 learning for time series forecasting.

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Openscoring ⭐ 565

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

Mlserver ⭐ 562

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

Ai_competitions ⭐ 539

AI比赛相关信息汇总

Daily Deeplearning ⭐ 532

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

Neptune Client ⭐ 518

📘 The MLOps stack component for experiment tracking

Shap Hypetune ⭐ 496

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

Fasttreeshap ⭐ 485

Fast SHAP value computation for interpreting tree-based models

Open Solution Home Credit ⭐ 444

Open solution to the Home Credit Default Risk challenge 🏡

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

Hypergbm ⭐ 306

A full pipeline AutoML tool for tabular data

Data_mining_models ⭐ 296

Basic data mining model, including feature importance display

My Data Competition Experience ⭐ 271

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

Bdci2018 Chinauuicom 1st Solution ⭐ 271

这是BDCI2018的联通赛题第一名解决方案

Intrusion Detection System Using Machine Learning ⭐ 248

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Autoquant ⭐ 227

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

Advanced High Performance Data Science Toolbox for R by Laurae

Gbm Perf ⭐ 180

Performance of various open source GBM implementations

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

Aws Machine Learning University Dte ⭐ 177

Machine Learning University: Decision Trees and Ensemble Methods

Tencent Contest ⭐ 177

Benchmarks ⭐ 157

Comparison tools

Tencent_social_ads2017_mobile_app_pcvr ⭐ 151

Tencent Social Ads 2017 contest rank 20

Ai Deployment ⭐ 116

关注AI模型上线、模型部署

Kdd_cup_2018 ⭐ 109

Arch Data Science ⭐ 83

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

Tencent2017_final_rank28_code ⭐ 75

2017第一届腾讯社交广告高校算法大赛Rank28_code

Autogbt Alt ⭐ 73

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

Dc Hi_guides ⭐ 70

[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

Jlboost.jl ⭐ 61

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Alpha Zero Boosted ⭐ 60

A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

Sparkgbm ⭐ 57

Spark-based GBM

Mljar Examples ⭐ 55

Examples how MLJAR can be used

Machine_learning_code ⭐ 52

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/catBoost/F

Cikm Analyticup 2018 ⭐ 50

CIKM AnalytiCup 2018 – 阿里小蜜机器人跨语言短文本匹配算法竞赛 – Rank12方案

Fast_retraining ⭐ 50

Show how to perform fast retraining with LightGBM in different business cases

Ds Ml Public ⭐ 49

Python Scripts and Jupyter Notebooks

Autotabular ⭐ 45

Automatic machine learning for tabular data. ⚡🔥⚡

Activeuserprediction ⭐ 43

predict app users that will be active in some period of time given log information of the users

Oasw Concept Drift Detection And Adaptation ⭐ 42

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

Rosetta_recsys2019 ⭐ 42

The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI

Datascienv ⭐ 41

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

Msds696 Masters Final Project ⭐ 41

Earthquake Prediction Challenge with LightGBM and XGBoost

Open Solution Value Prediction ⭐ 39

Open solution to the Santander Value Prediction Challenge 🐠

Perfect Guide About Machine Learning Study ⭐ 35

파이썬 머신러닝 완벽 가이드를 교재로 진행한 쏘카 데이터 그룹 사내 스터디 보완 자료

Recsys Challenge 2020 Twitter ⭐ 32

The complete code and notebooks used for the ACM Recommender Systems Challenge 2020 by our team BanaNeverAlone at Politecnico di Milano

2020 Ccf Crowd Flow Prediction ⭐ 29

科技战疫-大数据公益挑战赛-DataFountain重点区域人群密度预测第1名方案

Decision Trees For Ml ⭐ 27

Building Decision Trees From Scratch In Python

Kaggle Competition Sberbank ⭐ 26

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-

Recsys2019 ⭐ 26

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Pover T Tests ⭐ 25

Stackgbm ⭐ 24

🌳 Stacked Gradient Boosting Machines

2019 Tencent Ad Competition Rank16 Solution ⭐ 23

Mlops Best Practices ⭐ 23

Practical guide to build end-to-end machine learning pipeline and deploy your model in production,

Ml Parameter Optimization ⭐ 21

Hyperparameter optimization for machine learning algorithms.

Handson Gb ⭐ 20

XGBoost와 사이킷런으로 배우는 그레이디언트 부스팅

Gbm Multicore ⭐ 19

GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems

Gbm Benchmarks ⭐ 18

Humanorrobot ⭐ 17

a solution for competition of kaggle `Human or Robot`

Distributional Gradient Boosting Machines

Text Classification Benchmark ⭐ 16

文本分类基准测试

Xgboost_vs_lightgbm ⭐ 16

Comparison of XGBoost and LightGBM (speed, accuracy and complexity)

Bitboost ⭐ 15

Fast Gradient Boosting Decision Trees with Bit-Level Data Structures

Retrofit ⭐ 15

Automation of feature engineering, machine learning, model evaluation, model interpretation, eda, forecasting, recommender systems and more.

Apartment Interest Prediction ⭐ 15

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Jdata_code ⭐ 15

用户对品类下店铺的购买预测

Ifly Algorithm_challenge ⭐ 14

讯飞移动广告反欺诈算法竞赛

My kaggle competition solution and notebook

Ngboost Experiments ⭐ 14

Play around with NGBoost and compare with LightGBM and XGBoost

Xgboost Lightgbm Hyperparameter Tuning ⭐ 14

Bayesian Optimization and Grid Search for xgboost/lightgbm

Gbdt Algos Performance Tests ⭐ 13

Kagglelib ⭐ 13

A library of most useful basic functions for Kaggle competitions

Tencentsocialads ⭐ 12

腾讯社交广告高校算法大赛

Amex Default Prediction ⭐ 12

Kaggle Competition

Simple and efficient tools for data science.

Spam_email_classificaton ⭐ 11

使用朴素贝叶斯、SVM、逻辑回归、RF、XGBoost、LightGBM的方法实现垃圾邮件分类任务，

Model Stacking ⭐ 11

Model stacking example on toy dataset using XGBoost, LightGBM and more, combined with mlxtend model stacking.

Power Usage Predict ⭐ 10

🥉2023 Power Consumption Prediction AI Competition🥉

Python library for converting machine learning models to pmml file

Shopee Code League 2020 Competition 2 Open Product Detection Baseline Over 0.8 ⭐ 8

Include 2020 Shopee Code League(Asia Region) series competition's solution(NLP/CV/GBDT) & I'm the Best Coder 2020 solution(Taiwan Region)

Awesome Gradient Boosting ⭐ 8

A curated list of Gradient Boosting resources for Data Scientists

Ens Challenge Data Cryptocurrency Clusters ⭐ 7

This challenge organized by ENS Ulm and Collège de France was about predicting mean return of cluster's assets relatively to the bitcoin during the last hour of the day, given the last 23 hours.

Python Projects ⭐ 7

Portfolio in Python

Neurips17 ⭐ 7

NeurIPS 2017 Competition Classifying Genetic Mutations by Text (Top-1 Solution)

Analyticsvidya_contests ⭐ 7

Repository holds all the contests and Hackathons from Analytics Vidya

Tree Math ⭐ 7

Math behind all the mainstream tree-based machine learning models

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