A 30-day self-paced Python curriculum guiding learners from basics through practical applications like web scraping, Pandas, MongoDB, and API building, with daily exercises and community support.
Explore Ed Donner’s llm_engineering repo, an 8-week progressive Jupyter notebook course building from local LLMs to autonomous Agentic AI, emphasizing hands-on learning and budget-friendly API use.
learn-python3 offers a comprehensive Jupyter notebook curriculum teaching Python 3 basics and production skills like pytest, virtualenv, and project structure, bridging learning to shipping code.
This repo teaches algorithmic trading with a disciplined Research-Backtest-Implement method using Python and AI tools. It stresses avoiding emotional mistakes with systematic workflows.
A comprehensive community-maintained collection of PhD advice links covering admissions, research, writing, and academic career preparation. No code, just curated wisdom.
ChatTutor integrates AI tutors with visual tools like Geogebra in a Vue + Bun full-stack. It supports multiple LLM providers and offers a digital whiteboard for interactive STEM learning.
Project-Ideas-And-Resources offers 45+ tiered app project specs with user stories and learning links, crafting a self-directed curriculum that beats tutorial overload.
Explore LabEx’s curated C programming projects teaching low-level concepts through games and data structures, all in a browser playground with no setup.
Mathematics-for-ML is a curated repository aggregating key resources on the mathematical foundations of machine learning. It collects books, papers, and lectures to build strong math intuition for ML practitioners.
ML-From-Scratch offers bare-bones Python implementations of key machine learning algorithms using only NumPy, focusing on transparency over efficiency. Explore how it demystifies ML fundamentals.
Explore NASA JPL’s Open Source Rover, a comprehensive educational robotics platform combining hardware assembly and software control on Raspberry Pi. A practical guide for robotics enthusiasts.
A practical guide to bishwaghimire’s AI learning roadmaps repository, offering modular, career-focused paths for AI and ML self-learners, with setup essentials and a flexible curriculum.
OpenBoard is a C++/Qt-based interactive whiteboard supporting Windows, macOS, and Debian. It embeds web widgets for interactive teaching, with community-driven translations.
OSSU Data Science offers a fully open-source, GitHub-based undergraduate curriculum using free courses from top universities. Track progress with GitHub checkboxes over an estimated two-year timeline.
Prompt-Engineering-Jumpstart is an open-source eBook teaching 14 core prompt engineering patterns with practical examples, aimed at non-technical AI users and emphasizing universal AI interaction grammar.
SQL-101 offers a structured, RDBMS-agnostic curriculum covering SQL basics to advanced topics like indexing and transactions, with code examples and exercises for beginners.
Explore how ai-by-hand-excel implements deep learning architectures like Transformers entirely in Excel formulas, exposing the math behind AI step-by-step without code.
There Is No Spoon offers a unique ML primer for software engineers, using physical analogies to build deep intuition for neural networks and architectures beyond memorization.
A community-curated list of free machine learning courses on YouTube that organizes and vets educational content for practical learners and enthusiasts.
