#Lightgbm
Showing 54 of 54 repositories tagged #lightgbm, ranked by stars
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.
Simple and Distributed Machine Learning
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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
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.
Microsoft Distributed Machine Learning Toolkit
A collection of research papers on decision, classification and regression trees with implementations.
[UNMAINTAINED] Automated machine learning for analytics & production
MLBox is a powerful Automated Machine Learning python library.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Scalable machine 🤖 learning for time series forecasting.
Scalable Python DS & ML, in an API compatible & lightning fast way.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Precompiled packages for AWS Lambda
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.
Impress your boss with interactive Decision Tree visualization
📘 The experiment tracker for foundation model training
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Fast SHAP value computation for interpreting tree-based models
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Open solution to the Home Credit Default Risk challenge :house_with_garden:
Antivirus software written in Python and C++ that blocks threats through Machine Learning and behavioral monitoring!
QuantMind 开源版 是一款面向个人量化研究者的本地化金融量化交易平台，基于微软 Qlib 量化框架构建，提供从模型训练，回测，推理，实盘交易的完整研究闭环。 平台深度集成 LightGBM 等主流机器学习模型，支持 146 维量化因子训练与推理，用户可快速构建 Alpha 策略并在历史数据上验证效果。核心功能涵盖智能策略生成、模型训练、回测中心、QuantBot 助手及多模型管理，全部功能无使用限制。 开源版采用本地单机部署，通过 docker compose 一键启动，无需依赖云服务，数据与模型完全本地化，保障研究隐私。适合个人开发者、学术研究者及小团队进行量化策略原型验证与二次开发，是进入金融量化领域的理想起点。
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
Open solution to the Mapping Challenge :earth_americas:
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
使用机器学习进行股票预测并指导短线(预测未来3日股价)交易。
Practical guide to build end-to-end machine learning pipeline and deploy your model in production,
High performance gradient boosting for Ruby
An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
Automatic machine learning for tabular data. ⚡🔥⚡
📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian software firms📆
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
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
Solution to Kaggle's PLAsTiCC Astronomical Classification Competition
Python Scripts and Jupyter Notebooks
A股量化选股系统 基于LightGBM
Kaggle Kernels (Python, R, Jupyter Notebooks)
Alzheimer Disease Detection Model for Real Time Hospital Usage
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
Demo from Data Community Bydgoszcz i Toruń, 27.02.2019
The AI-Powered Healthcare Intelligence Network is an AI-driven system offering disease prediction, drug recommendations, heart disease risk assessment, and an AI medical chatbot. Using ML, NLP, and LLMs, it provides accurate diagnoses, insights, and recommendations, enhancing healthcare accessibility, efficiency, and decision-making .
Discovering hairstyle trends at a global scale on Instagram. Instagram posts have been clustered together into hairstyles
iThome 13th-ironman (2021) - Data Science Learning Roadmap about Python
This project automates bank credit risk assessment using AI and machine learning models to predict loan defaults. It streamlines the credit process with predictive analytics, model evaluation, explainability (SHAP), and deployment readiness.
Fast API Endpoint!. This project examines, analyses the malware statically & dynamically using conventional strategies and also apply machine learning algorithms lke lightgbm, svm and deep learning algorithms like CoAtNet, LSTM. FrontEnd App is Antivirus built on Tauri
Advanced ML system for stock market prediction with real-time data and multiple algorithms