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

Code and Resources for "Applied Machine Learning"

RadIO is a library for data science research of computed tomography imaging

Contains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics provided by Coursera, Udacity, Linkedin Learning, Udemy and edX.

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

Comparison tools

🌊 Online machine learning in Python

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Lending Club Loan data analysis

A cleaner way to build neural networks for PyTorch.

Visualize and compare datasets, target values and associations, with one line of code.

🎓 Tidy tools for academics

R package for exploratory data analysis

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

An open source library for Fuzzy Time Series in Python

Bella is a pure python post-exploitation data mining tool & remote administration tool for macOS. 🍎💻

A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).

Search for tweets and download the data labeled with its polarity in CSV format

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Dash Demo App - Stock Tickers

Python-based implementations of algorithms for learning on imbalanced data.

scikit-learn: machine learning in Python

Python package for graph statistics

An open-source NLP research library, built on PyTorch.

Analytic platform for real-time large-scale streams containing structured and unstructured data.

Roadmap to becoming an Artificial Intelligence Expert in 2021

Collection of Artificial Intelligence projects.

🦄 The Enterprise™ programming language

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

Supervised domain-agnostic prediction framework for probabilistic modelling

🌍 A curated list of APIs, open data and ML/AI projects on climate change

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

HTML5 based online tool to extract numerical data from plot images.

A New, Interactive Approach to Learning Python

2017京东金融全球数据探索者大赛(3rd place)

Machine learning glossary

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Python package for creating beautiful interactive Chord Diagrams. Pro version available at https://m8.fyi/chord

Datasets, tools, and benchmarks for representation learning of code.

A performant visual regression testing tool

A searchable compilation of Kaggle past solutions

🐳📊📚 Docker Images tracking the stable Galaxy releases.

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.

🌎 machine learning tutorials (mainly in Python3)

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

Scala Library/REPL for Machine Learning Research

A blog for data analytics using data science technologies

Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.

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.