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
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Learn AI Engineering! Learn it. Build it. Ship it for others.
deep learning for image processing including classification and object-detection etc.
- pytorch
- tensorflow2
- classification
- object-detection
Translated100-Days-Of-ML-Code Chinese version
- machine-learning
- python
- 100-days-of-ml-code
- chinese-simplified
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
Practical Python Programming (course by @dabeaz)
- python
- pythontutorial
- tutorial
Open Machine Learning Course
A collection of machine learning examples and tutorials.
A multi-module course teaching everything you need to know about using GitHub Copilot as an AI Peer Programming resource.
:speech_balloon: Machine Learning Course with Python:
- python
- machine-learning
- machine-learning-algorithms
- artificial-intelligence
learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen
- course
- large-language-model
- llm
- python
Learn Python from DevOps Engineer point of you.
Translated"Large Language Models" (《大语言模型》), authors: Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, Wen Jirong
- artificial-intelligence
- deep-learning
- deep-neural-networks
- deep-reinforcement-learning
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
- aws
- bytewax
- comet-ml
- generative-ai
Open-source Python challenge courses — your AI coding agent teaches, verify.py decides when you're done.
- python
- learning-python
- python-course
- claude-code
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
Simple PyTorch Tutorials Zero to ALL!
- deeplearning
- pytorch
- python
- tutorial
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.
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
- cli
- deep-learning
- education
- from-scratch
Quantitative Research Handbook
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
- ai-engineering
- course
- data-engineering
- deep-learning
Introduction to Deep Learning
A structured, multi-agent Claude Code learning environment for mastering Retrieval-Augmented Generation (RAG)