2613 Open source projects that are alternatives of or similar to Openscoring

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

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

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

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

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

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

关注AI模型上线、模型部署

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

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

Automatic machine learning for tabular data. ⚡🔥⚡

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

Stacked Generalization (Ensemble Learning)

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

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

Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

📚 Various cheatsheets in PDF

Financial News Aggregator - Real Time & Query API for Financial News

An unofficial API for the trading platform Degiro, with the ability to get real time data and historical data

A collection of resources for pulling real-time streaming data off of TDAmeritrade's ThinkOrSwim(TOS) platform; providing C, C++, Java and Python interfaces.

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

⏱ Benchmarks of machine learning inference for Go

Unofficial api for cve.mitre.org

Building Decision Trees From Scratch In Python

🌳 Stacked Gradient Boosting Machines

Earthquake Prediction Challenge with LightGBM and XGBoost

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

Machine Learning Operator & Controller for Kubernetes

Simple and Distributed Machine Learning

PySpark + Scikit-learn = Sparkit-learn

(Deprecated) Scikit-learn integration package for Apache Spark

The IEX API provides any individual or academic, public or private institution looking to develop applications that require stock market data to access near real-time quote and trade data for all stocks trading on IEX.

2017第一届腾讯社交广告高校算法大赛Rank28_code

Machine Learning University: Decision Trees and Ensemble Methods

Bayesian Optimization and Grid Search for xgboost/lightgbm

Real time API latency analyzer - Create a PDF report and HDR histogram of your APIs

🏆 Feature packed, easy-to-use game server API for Go back-ends and Javascript clients. Tutorials and examples included!

Webservice pour les horaires et trafic RATP en temps réel

Carefully curated resource links for data science in one place

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

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

📒 Experiment tracking tool and model registry

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

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

Scalable machine 🤖 learning for time series forecasting.

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

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

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!

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

Serverless proxy for Spark cluster

住房月租金预测大数据赛TOP1

A full pipeline AutoML tool for tabular data

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

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

Open solution to the Home Credit Default Risk challenge 🏡

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Kaggle Kernels (Python, R, Jupyter Notebooks)

a solution for competition of kaggle `Human or Robot`

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