537 Open source projects that are alternatives of or similar to Gbm Perf

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Automatic machine learning for tabular data. ⚡🔥⚡

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

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

Machine Learning University: Decision Trees and Ensemble Methods

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

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

🌳 Stacked Gradient Boosting Machines

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

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

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

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

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

住房月租金预测大数据赛TOP1

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

Building Decision Trees From Scratch In Python

Kaggle Kernels (Python, R, Jupyter Notebooks)

Earthquake Prediction Challenge with LightGBM and XGBoost

2017第一届腾讯社交广告高校算法大赛Rank28_code

Bayesian Optimization and Grid Search for xgboost/lightgbm

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

a solution for competition of kaggle `Human or Robot`

文本分类基准测试

A curated list of gradient boosting research papers with implementations.

Open solution to the Santander Value Prediction Challenge 🐠

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

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

关注AI模型上线、模型部署

Scalable machine 🤖 learning for time series forecasting.

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 full pipeline AutoML tool for tabular data

[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11

📒 Experiment tracking tool and model registry

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

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

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

AI比赛相关信息汇总

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

Open solution to the Home Credit Default Risk challenge 🏡

MLBox is a powerful Automated Machine Learning python library.

[UNMAINTAINED] Automated machine learning for analytics & production

Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays

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

Statistics-driven benchmarking library for Rust

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.

Make Dota 2 fps great again

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

Solution to the Outbrain Click Prediction competition

Performance benchmarks for Kubernetes

💨 Writing Fast Crystal 😍 -- Collect Common Crystal idioms.

Stacked Generalization (Ensemble Learning)

Pantheon of Congestion Control

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

A tour through recommendation algorithms in python [IN PROGRESS]

Comparative Evaluation of Hand-Crafted and Learned Local Features

BLUE benchmark consists of five different biomedicine text-mining tasks with ten corpora.

Benchmark Kubernetes persistent disk volumes with fio: Read/write IOPS, bandwidth MB/s and latency

C++ benchmark tool. Practical, stable and fast performance testing framework.

Benchmarking State-of-the-Art Deep Learning Software Tools