Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Learn You The Node.js For Much Win! An intro to Node.js via a set of self-guided workshops.
A course in reinforcement learning in the wild
Course materials for Modern Binary Exploitation by RPISEC
Course materials for Malware Analysis by RPISEC
:mortar_board: A workshopper for GLSL shaders and graphics programming
Starter-kit for writing services in Go using Kubernetes.
Claude Code guide in three levels, Beginner to Advanced: hands-on lessons with checked exercises, every volatile fact cited to its source. Independent community guide.
A functional javascript workshop. No libraries required (i.e. no underscore), just ES5.
The repository contains the ENGLISH description files attached to the video series in my ARABIC algorithms channel.
:mortar_board: The sequel to shader-school: Learn the WebGL API
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
Learn Express.js from the author of one of the best books on Express.js—Pro Express.js— with this workshop that will teach you basics of Express.js.
Learn cloud security by building it! An open-source homelab teaching Zero Trust, DevSecOps, IaC, and cloud architecture from the ground up.
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Learn Robotics with JdeRobot
open source software construction course
TranslatedChinese tutorial for Stanford CS329Z Engineering AI Agents: an AI agent course for Python developers, with 19 lectures and 4 hands-on practices, covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation, and safety. Full Markdown, online and offline HTML. Chinese course notes.
the best machine learning tutorials on the web
get started with ARKit - a little exercise for beginners
PL-900 Introduction to Microsoft Power Platform
Lecture and lab slides for EECS 498 AASE (Applied Agentic Software Engineering), UMich Fall 2026
EventStorming workshop, this is a hands-on workshop. Contains such topics: DDD, Event storming, Specification by example. Including the AWS product : Serverless Lambda , DynamoDB, Fargate, CloudWatch.