callistusndemo

AIrsenal

Machine learning Fantasy Premier League team

css-exercises

docstore

Organising my scanned documents and reference files with keyword tagging

emdash

📚🧙‍♂️ Wisdom indexer — use AI to organize text snippets so you can actually remember & learn from what you read

first-visual-story

fpl-data

Creates a .csv file of all players in the English Player League with their respective team and total fantasy points

FPL-Optimization-Tools

A collection of tutorials and recipes to use optimization for winning Fantasy Premier League :)

grokking_algorithms

Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

hands-on-xgboost

Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt

jupyterlab

JupyterLab computational environment.

learning-area

Github repo for the MDN Learning Area.

html-css-js-template

journal-prompts

logseq

A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: http://trello.com/b/8txSM12G/roadmap

mdn-letter

my-first-github-scrapper

odin-recipes

notes on learning through the odin project

pcc_3e

Online resources for Python Crash Course, 3rd edition, from No Starch Press.

platypus

Qiskit Textbook (beta)

practical-python

Practical Python Programming (course by @dabeaz)

practical-python-projects

pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

pymc-data-umbrella

Website: Data Umbrella & PyMC open source sessions

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

tiny_python_projects

Code for Tiny Python Projects (Manning, 2020). Learning Python through test-driven development of games and puzzles.

top

The Odin Project

tutorials

PyTorch tutorials.

WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"