Stars
Roguelike Tutorial in Rust - using RLTK
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A library for building dynamic webapps, using Js_of_ocaml.
Infrastructure for Sanskrit software. For Python bindings, see `vidyut-py`.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
🦀 A peer-reviewed collection of articles/talks/repos which teach concise, idiomatic Rust.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A book series on JavaScript. @YDKJS on twitter.
Basic text analytics and natural language processing in Python
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Code / solutions for Mathematics for Machine Learning (MML Book)
This repo contains annotated research papers that I found really good and useful
Bootstrap Kubernetes the hard way. No scripts.
Deep Learning for Coders, 2020, the website
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia