freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
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freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
12 Weeks, 24 Lessons, AI for All!
Learn how to develop, deploy and iterate on production-grade ML applications.
TranslatedGuidance for courses in Department of Computer Science and Technology, Tsinghua University
10 Weeks, 20 Lessons, Data Science for All!
Beginner, advanced, expert level Rust training material
Python training for business analysts and traders
TranslatedAI learning roadmap, compiling nearly 200 hands-on cases and projects, with free accompanying teaching materials, for beginners with zero background, focused on job-ready practice! Covers: Python, mathematics, machine learning, data analysis, deep learning, computer vision, natural language processing, PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv and other popular fields
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
TranslatedCrash Course Computer Science (5,090,000 views) (40 episodes in total, each 10 minutes) Translation completed in 2018. The comment section has a lot of praise
Open Machine Learning Course
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.
A collection of machine learning examples and tutorials.
Docker - Beginners | Intermediate | Advanced
All course materials for the Zero to Mastery Machine Learning and Data Science course.
:speech_balloon: Machine Learning Course with Python:
learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen
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.
TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning
Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.
Free educational content on reverse engineering and malware analysis from the FLARE team