Awesome Open Source

Programming Languages

Search results for machine learning xgboost

machine-learning x

223 search results found

Xgboost ⭐ 25,253

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Sqlflow ⭐ 4,682

Brings SQL and AI together.

Alink ⭐ 3,479

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Kserve ⭐ 3,035

Standardized Serverless ML Inference Platform on Kubernetes

Mljar Supervised ⭐ 2,867

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

Dtreeviz ⭐ 2,720

A python library for decision tree visualization and model interpretation.

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.

Deepdetect ⭐ 2,492

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

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

Deeplearning ⭐ 2,347

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

Awesome Decision Tree Papers ⭐ 2,266

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

Benchm Ml ⭐ 1,839

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Automl Gs ⭐ 1,642

Provide an input CSV and a target field to predict, generate a model + code to run it.

Autoviz ⭐ 1,550

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Training Operator ⭐ 1,447

Distributed ML Training and Fine-Tuning on Kubernetes

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

Data Science Competitions ⭐ 789

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

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

Interpretable_machine_learning_with_python ⭐ 629

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

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

Hyperactive ⭐ 475

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Auto_viml ⭐ 473

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Featran ⭐ 465

A Scala feature transformation library for data science and machine learning

Xgboostlss ⭐ 453

An extension of XGBoost to probabilistic modelling

Open Solution Home Credit ⭐ 444

Open solution to the Home Credit Default Risk challenge 🏡

Mli Resources ⭐ 405

H2O.ai Machine Learning Interpretability Resources

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

Tgboost ⭐ 294

Tiny Gradient Boosting Tree

Handson Ml ⭐ 277

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Xgboost Predictor Java ⭐ 276

Pure Java implementation of XGBoost predictor for online prediction tasks.

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

A Platform for Secure Analytics and Machine Learning

This repo is all the machine learning related project codes and their corresponding blog posts at the graduate level.

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..)

Textclassificationimplement ⭐ 242

’达观杯‘文本智能处理挑战赛，文本分类任务的实现，包括一些传统的监督学习算法和深度学习算法，主要基于

Machinelearningseminars ⭐ 240

Семинары А.В. Грабового к лекционному курсу К.В. Воронцова.

Data_science_blogs ⭐ 232

A repository to keep track of all the code that I end up writing for my blog posts.

Time Series Machine Learning ⭐ 220

Machine learning models for time series analysis

Feature Engineering Tutorials ⭐ 217

Data Science Feature Engineering and Selection Tutorials

Xgboost Survival Embeddings ⭐ 214

Improving XGBoost survival analysis with embeddings and debiased estimators

Onnxconverter Common ⭐ 203

Common utilities for ONNX converters

Advanced High Performance Data Science Toolbox for R by Laurae

Nba Prediction ⭐ 186

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

Speedml ⭐ 185

Speedml is a Python package to speed start machine learning projects.

Variable Importance Plots (VIPs)

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

Automl_alex ⭐ 171

State-of-the art Automated Machine Learning python library for Tabular Data

Machine Learning In R ⭐ 144

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

Common library for serving TensorFlow, XGBoost and scikit-learn models in production.

Boostaroota ⭐ 139

A fast xgboost feature selection algorithm

Machine Learning Notes ⭐ 130

机器学习笔记

Xgboost_ray ⭐ 121

Distributed XGBoost on Ray

Applied Machine Learning ⭐ 117

A step-by-step guide to get started with Applied Machine Learning

Sagemaker Xgboost Container ⭐ 109

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

Data Science Popular Algorithms ⭐ 101

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Scikit Learn_bench ⭐ 99

scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.

Xgboost Ruby ⭐ 98

High performance gradient boosting for Ruby

Fraud Detection Using Machine Learning ⭐ 98

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

Sci Pype ⭐ 96

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Automation Repo ⭐ 95

Machine learning and process automation

Kaggle Code ⭐ 95

A repository for some of the code I used in kaggle data science & machine learning tasks.

Rust Xgboost ⭐ 93

Rust bindings for XGBoost.

30 Days Of Ml Kaggle ⭐ 93

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

Mloperator ⭐ 89

Machine Learning Operator & Controller for Kubernetes

Sigmoidal_ai ⭐ 89

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Aws Lambda Docker Serverless Inference ⭐ 88

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

Secure Xgboost ⭐ 86

Secure collaborative training and inference for XGBoost.

Mlr3learners ⭐ 85

Recommended learners for mlr3

Btctrading ⭐ 83

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Arch Data Science ⭐ 83

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

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

Docker Python Deep Learning ⭐ 74

A container for Deep Learning with Python 3

Autogbt Alt ⭐ 73

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

Allstate_capstone ⭐ 69

Allstate Kaggle Competition ML Capstone Project

MLOps Python Library

Music Genre Classification ⭐ 67

Recognizing the genre of music files using machine learning and deep learning models

Jlboost.jl ⭐ 61

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

Federated Xgboost ⭐ 60

Federated gradient boosted decision tree learning

Examples ⭐ 60

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Predicting_real_estate_prices_using_scikit Learn ⭐ 59

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Home Credit Default Risk ⭐ 59

Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline

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

Mljar Examples ⭐ 55

Examples how MLJAR can be used

Go Xgboost ⭐ 54

XGBoost bindings for golang

Pravda Ml ⭐ 52

This project is used to capture machine learning pipelines created on top of Spark as OK

Fast_retraining ⭐ 50

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

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.

Related Searches

Python35 Machine Learning (17,117)

Python Machine Learning (14,100)

Jupyter Notebook Machine Learning (12,247)

Machine Learning Neural Network (4,361)

Machine Learning Data Science (3,396)

Machine Learning Tensorflow (2,984)

Machine Learning Natural Language Processing (2,886)

Machine Learning Classification (2,237)

Machine Learning Artificial Intelligence (2,074)

Machine Learning Pytorch (2,014)

1-100 of 223 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.