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A curated list of awesome Category Theory resources.
Ranked list of awesome digital gardens / second brains
Resources, links, projects, and ideas for gardeners tending their digital notes on the public interwebs
Awesome Privacy - A curated list of services and alternatives that respect your privacy because PRIVACY MATTERS.
A minimalist novel-writing system/rich text editor designed to be usable without a mouse. For desktop and standalone word processors/digital typewriters/writerDecks.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A repository of Maker Skill Trees and templates to make your own.
📚 Freely available programming books
A collection of learning resources for curious software engineers
An open access book on scientific visualization using python and matplotlib
Save manager for 'Choice of Games' on Steam - Created with Unity 3D
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
To become a competent mathematician and computer scientist the complete way.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
Dataset used in the Python Language Companion to Applied Linear Algebra. Vectors, Matrices, and Least Squares
The Economist's model to estimate excess deaths to the covid-19 pandemic
An opinionated list of awesome Python frameworks, libraries, software and resources.
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.