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Starred repositories
🛠 All-in-one web-based IDE specialized for machine learning and data science.
A Jekyll-based theme designed for documentation and help systems. See the link for detailed instructions on setting up and configuring everything.
An open access book on scientific visualization using python and matplotlib
A flat, 80's neon inspired theme for JupyterLab.
Minimalist Jekyll Template, dark and light themes
A library of extension and helper modules for Python's data analysis and machine learning libraries.
bpython - A fancy curses interface to the Python interactive interpreter
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
All Algorithms implemented in Python
Submit your package for review by pyOpenSci here! If you have questions please post them here: https://pyopensci.discourse.group/
Statistical package in Python based on Pandas
Scipy 2019 JupyterLab tutorial
Declarative statistical visualization library for Python
🦉 ML Experiments and Data Management with Git
Guide for Reproducible Research and Data Science in Jupyter Notebooks
Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Streamlit — A faster way to build and share data apps.
Code, slides, and documentation for the talks I have given.
Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
Lab materials for the Full Stack Deep Learning Course
Gorgonia is a library that helps facilitate machine learning in Go.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
The "Python Machine Learning (2nd edition)" book code repository and info resource
