528 Open source projects that are alternatives of or similar to MSDS696-Masters-Final-Project

MLBox is a powerful Automated Machine Learning python library.

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a solution for competition of kaggle `Human or Robot`

Comparison tools

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

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

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

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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

文本分类基准测试

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AI比赛相关信息汇总

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.

Performance of various open source GBM implementations

Kaggle getting started competition examples

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

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🏆 Kaggle 8th place solution

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

Allstate Kaggle Competition ML Capstone Project

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

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

关注AI模型上线、模型部署

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

Bayesian Optimization and Grid Search for xgboost/lightgbm

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

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

2017第一届腾讯社交广告高校算法大赛Rank28_code

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).

Material of the Kaggle Berlin meetup group!

[UNMAINTAINED] Automated machine learning for analytics & production

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

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.

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

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GPT-2 Telegram Chat bot

Kaggle을 처음 접하는 사람들을 위한 문서

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