319 Open source projects that are alternatives of or similar to fast_retraining

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.

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

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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

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

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A full pipeline AutoML tool for tabular data

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

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Earthquake Prediction Challenge with LightGBM and XGBoost

a solution for competition of kaggle `Human or Robot`

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Automatic machine learning for tabular data. ⚡🔥⚡

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

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

2017第一届腾讯社交广告高校算法大赛Rank28_code

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

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

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A curated list of gradient boosting research papers with implementations.

📒 Experiment tracking tool and model registry

GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装

Bayesian Optimization and Grid Search for xgboost/lightgbm

文本分类基准测试

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

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.

Machine Learning University: Decision Trees and Ensemble Methods

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

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

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

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

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

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

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

Material of the Kaggle Berlin meetup group!

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

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

Performance of various open source GBM implementations

[UNMAINTAINED] Automated machine learning for analytics & production

🏆 Kaggle 8th place solution

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

Solution to the Outbrain Click Prediction competition

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

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

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

Open solution to the Santander Value Prediction Challenge 🐠

Solution to Kaggle's PLAsTiCC Astronomical Classification Competition

Open solution to the Mapping Challenge 🌎

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