John Hayes's Projects
Tools and tests used in Kaggle Learn exercises
An OpenSource LED stimulator for visual and optogenetics stimulation in combination with 2-photon recording
8x8x8 LED cube powered by an arduino
[Fork of] Example Jupyter notebooks of lightning visualizations
LLM training code for Databricks foundation models
Meta class
Meta class
Mastering Shiny: a book
[ Fork of Real Python ] Bonus materials, exercises, and example projects for our Python tutorials
Working repo for Meta GitHub class.
[ Fork of ] A small image based on Debian designed for use in containers
The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)
[ Mirror of ]12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
The Ultimate FREE Machine Learning Study Plan
[Mirror] Optional static typing for Python 3 and 2 (PEP 484)
[ Fork of ] š OpenDevin: Code Less, Make More
[Mirror] Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
[Mirror] Recipes for using Python's pandas library
[Mirror] Jupyter notebook and datasets from the pandas Q&A video series
[Mirror] a collaborative knowledge-exchange platform in Rails; we welcome first-time contributors! :balloon:
[ Fork of ] "Probabilistic Machine Learning" - a book series by Kevin Murphy
Django poll tutorial website
[Mirror] Practical Python Programming (course by @dabeaz)
[ Fork of ] aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
[ Fork of ] Datasets associated with pyprobml
[ Fork of ] Utilities for probabilistic ML
[Mirror] Using pandas for Better (and Worse) Data Science
[Mirror] PyCon 2015 Pandas tutorial materials; in the process of updating to python 3.8 and pandas 1.05
[Mirror] A clone of https://github.com/dhellmann/pymotw-3