The Rust Programming Language

Notes from books and other interesting things that I've read. Table of contents at the end 👇

Keras code and weights files for popular deep learning models.

Python Data Science Handbook: full text in Jupyter Notebooks

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

The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

TypeScript-STL (Standard Template Library, migrated from C++)

freeCodeCamp.org's open source codebase and curriculum. Learn to code at home.

🏡 Open source home automation that puts local control and privacy first

Open Source, Distributed, RESTful Search Engine

World Models with TensorFlow 2

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Curated applications for Kubernetes

Advice for writing LaTeX documents

The Leek group guide to data sharing

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 ;)

Caffe: a fast open framework for deep learning.

Data Science Using Python

Mini projects built with HTML5, CSS & JavaScript. No frameworks or libraries

Curated list of Python resources for data science.

📝 An awesome Data Science repository to learn and apply for real world problems.

Cross-platform HTTP and GraphQL Client

A Jest plugin. Output all test results to CSV.

Data Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.

YouTube video downloader in javascript.

TypeScript common pattern shortcut definitions / utility gist library