1256 Open source projects that are alternatives of or similar to Statistical Learning

EvalML is an AutoML library written in python.

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Metric collection, data testing and monitoring for SQL accessible data

A Python package for building Bayesian models with TensorFlow or PyTorch

Julia port of the Python autograd package.

A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org

Rust numeric library with R, MATLAB & Python syntax

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

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A Handful of D(u)S(t)

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Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

Comparison tools

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Anime2Selfie Backend Services - Lambda, Queue, API Gateway and traffic processing

A PureScript, browser-based implementation of LDA topic modeling.

Python, Machine Learning, Deep Learning and Data Science Books

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

fklearn: Functional Machine Learning

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

An R-focused pipeline toolkit for reproducibility and high-performance computing

Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Web scrapping and related analytics using Python tools

Series of the problem 💯 and solution ✅ asked by Daily Coding problem👨‍🎓 website.

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ThunderSVM: A Fast SVM Library on GPUs and CPUs

A collection of Jupyter Notebooks for learning Python for Data Science.

机器学习与深度学习算法示例

Tutorial Sessions for SciPy Con 2019

List of datasets to apply stats/machine learning/technology to the world of social good.

Complete-Life-Cycle-of-a-Data-Science-Project

A web application to explore currently hyped stocks on Reddit

The foundational library of the Morpheus data science framework

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

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

Developer Cheatsheets

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

A point-and-click tool for creating and analyzing topic models produced by MALLET.

Deploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀

Conversion of R Regression Output to LaTeX or HTML Tables

Spying using Smartwatch and Deep Learning

List of textual data sources to be used for text mining in R

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @ZJU

Social Network Analysis of Zhihu with Python

一些常用的机器学习算法实现

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

《Python数据分析与挖掘实战》随书源码与数据

A blog for data analytics using data science technologies

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A toolbox for processing and analysing air traffic data

Free and Open Source software for numerical computation providing a powerful computing environment for engineering and scientific applications.

Random dataframe and database table generator

Well handling

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.