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109 search results found

Lightgbm ⭐ 16,056

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.

Ml Nlp ⭐ 10,874

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Synapseml ⭐ 4,967

Simple and Distributed Machine Learning

Mljar Supervised ⭐ 2,867

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

Microsoft Distributed Machine Learning Toolkit

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.

Forecasting ⭐ 2,540

Time Series Forecasting Best Practices & Examples

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

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

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

Collection of various algorithms implemented in R.

Mlforecast ⭐ 635

Scalable machine 🤖 learning for time series forecasting.

Hyperparameter_hunter ⭐ 635

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

Machine learning for Ruby

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

Mlserver ⭐ 562

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

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

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

Open Solution Mapping Challenge ⭐ 363

Open solution to the Mapping Challenge 🌎

Lleaves ⭐ 279

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

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

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..)

Amazon Sagemaker Local Mode ⭐ 220

Amazon SageMaker Local Mode Examples

Advanced High Performance Data Science Toolbox for R by Laurae

Gbm Perf ⭐ 180

Performance of various open source GBM implementations

Lightgbmlss ⭐ 179

An extension of LightGBM to probabilistic modelling

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

Pwpae Concept Drift Detection And Adaptation ⭐ 175

Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.

Kaggle Competition Favorita ⭐ 138

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

Kaggle Quora Question Pairs ⭐ 106

My solution to Kaggle Quora Question Pairs competition (Top 2%, Private LB log loss 0.13497).

Arch Data Science ⭐ 83

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

All Relevant Feature Selection

Machinelearninglab ⭐ 80

Some experiments about Machine Learning

Tianchi Trajectory Data Mining ⭐ 75

天池DCIC2020船只轨迹数据挖掘比赛算法阶段Rank 3解决方案：

Ml Pipeline ⭐ 74

Using Kafka-Python to illustrate a ML production pipeline

Autogbt Alt ⭐ 73

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

Lightgbm Ruby ⭐ 66

High performance gradient boosting for Ruby

Auto Flow ⭐ 66

AutoFlow : Automatic machine learning workflow modeling platform

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

Urban Region Function Classification ⭐ 61

Mljar Examples ⭐ 55

Examples how MLJAR can be used

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. ⚡🔥⚡

Treetops ⭐ 42

Fast LightGBM tree model inference Java library which is based on ASM dynamic code generation framework.

Rosetta_recsys2019 ⭐ 42

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

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.

Lightgbm.jl ⭐ 41

LightGBM.jl provides a high-performance Julia interface for Microsoft's LightGBM.

Open Solution Value Prediction ⭐ 39

Open solution to the Santander Value Prediction Challenge 🐠

Jpmml Sparkml Lightgbm ⭐ 39

JPMML-SparkML plugin for converting LightGBM-Spark models to PMML

Ml Competition Template Titanic ⭐ 38

Kaggle Titanic example

Litemort ⭐ 36

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

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

Machinelearningpractice ⭐ 28

Some practices using statistical machine learning technique based on some dataset. (notes and doing from scratch)

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-

Machine Learning Tool Box

Stackgbm ⭐ 24

🌳 Stacked Gradient Boosting Machines

Mlops Best Practices ⭐ 23

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

Conference talks, meetup talks, and misc. writing

Tencent_social_advertising_algorithm_competition ⭐ 21

第一届腾讯社交广告高校算法大赛Tencent_2017_contest

Handson Gb ⭐ 20

XGBoost와 사이킷런으로 배우는 그레이디언트 부스팅

MLup is framework for easy and fast run ML in production

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

Deep Learning For Human Activity Recognition ⭐ 15

Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

Apartment Interest Prediction ⭐ 15

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

Retrofit ⭐ 15

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

Ngboost Experiments ⭐ 14

Play around with NGBoost and compare with LightGBM and XGBoost

My kaggle competition solution and notebook

Quantitative Trading ⭐ 12

Amex Default Prediction ⭐ 12

Kaggle Competition

Simple and efficient tools for data science.

Lightgbm Dask Testing ⭐ 11

Test LightGBM's Dask integration on different cluster types

Open Solution Talking Data ⭐ 11

Open solution to the TalkingData AdTracking Fraud Detection Challenge

Optiver Prediction ⭐ 9

kaggle competition

Dcic2023 Fraud Risk Identification ⭐ 9

本赛题旨在运用有效的金融科技和大数据系统，分析涉赌涉诈资金交易新方式，持续优化风险监测模型，通过赛题

Demo from Data Community Bydgoszcz i Toruń, 27.02.2019

Cross platform audio feature extraction and sound classification tool

Lightgbmdotnet ⭐ 8

A .NET wrapper for the LightGBM machine learning library

Predict Delinquency ⭐ 7

🏆신용카드 사용자 연체 예측 AI 경진대회 2등 솔루션🏆

LightGBM + Optuna

Python Projects ⭐ 7

Portfolio in Python

Analyticsvidya_contests ⭐ 7

Repository holds all the contests and Hackathons from Analytics Vidya

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.

Yasa_classifier ⭐ 6

Notebooks for training the classifier of YASA sleep staging

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