Lordog / dive-into-llms
Chinese-language hands-on programming tutorial series on large language models, covering fine-tuning, prompting, editing, watermarking, jailbreaks, and agents.
Lordog / dive-into-llms
microsoft / generative-ai-for-beginners
A 21-lesson Microsoft course teaching how to build generative AI applications, with code examples in Python and TypeScript.
microsoft / ai-agents-for-beginners
An 18-lesson beginner course with code samples on building AI agents using Microsoft's agent frameworks and services.
jackfrued / Python-100-Days
A free Chinese-language 100-day Python course, from basics to advanced topics, with lessons and code examples.
HandsOnLLM / Hands-On-Large-Language-Models
Code examples for the O'Reilly book Hands-On Large Language Models, covering LLM concepts and practical techniques in Jupyter notebooks.
microsoft / AI-For-Beginners
A 12-week, 24-lesson beginner curriculum covering AI fundamentals, neural networks, computer vision, NLP, and AI ethics with TensorFlow and PyTorch labs.
anthropics / claude-cookbooks
Jupyter notebooks and recipes demonstrating code patterns for building with the Claude API, including tool use, RAG, vision, and evaluations.
mrdbourke / zero-to-mastery-ml
Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
chiphuyen / aie-book
Companion repository for Chip Huyen's book AI Engineering, with chapter summaries, study notes, prompt examples, and case studies.
microsoft / ML-For-Beginners
A 12-week, 26-lesson beginner curriculum on classic machine learning using Scikit-learn, with quizzes and projects in Python and R.
openai / openai-cookbook
Example notebooks and guides showing how to accomplish common tasks with the OpenAI API.
NirDiamant / RAG_Techniques
A collection of 42+ runnable Jupyter notebooks, each tutorial covering an advanced technique for Retrieval-Augmented Generation systems.
DataTalksClub / data-engineering-zoomcamp
A free 9-week course teaching data engineering by building an end-to-end data pipeline using tools like Docker, Terraform, Kafka, Spark, and dbt.
hugo2046 / QuantsPlaybook
Python and Jupyter reproductions of quant strategies from Chinese brokerage research reports, covering A-share timing, factors, value and portfolio optimization.
GokuMohandas / Made-With-ML
A free course teaching how to design, develop, deploy, and iterate on production-grade machine learning applications in Python.
xiaolai / the-craft-of-selfteaching
A Chinese-language book by Li Xiaolai teaching self-learning skills through a Python programming curriculum, delivered as Jupyter notebooks.
Liquid4All / cookbook
A collection of examples, tutorials, and apps for building with Liquid AI's open-weight LFM models and the LEAP SDK on laptops, mobile, and edge devices.
udlbook / udlbook
Source repository for Simon Prince's textbook Understanding Deep Learning, with LaTeX sources, figures, and Jupyter notebooks.
anthropics / prompt-eng-interactive-tutorial
An interactive Jupyter notebook course teaching prompt engineering techniques for Anthropic's Claude models.
NVIDIA / accelerated-computing-hub
NVIDIA's curated collection of interactive GPU computing tutorials, syllabi, and guides covering CUDA, Python, and accelerated libraries.
alirezadir / AIMLInterviews
A study guide and interview-prep curriculum for AI/ML technical roles at big tech, covering coding, ML breadth, system design, and behavioral rounds.
ed-donner / llm_engineering
Jupyter notebooks and code accompanying Ed Donner's 8-week LLM engineering course, from local models through building LLM applications.
patchy631 / ai-engineering-hub
A curated collection of tutorials and hands-on projects covering LLMs, RAG, and AI agent applications, organized by difficulty.
NirDiamant / agents-towards-production
Code-first Jupyter tutorials for building and deploying production-grade GenAI agents, from prototype to enterprise deployment.
microsoft / Data-Science-For-Beginners
A 10-week, 20-lesson beginner curriculum teaching data science through project-based lessons with quizzes and assignments.
microsoft / mcp-for-beginners
A beginner curriculum teaching the Model Context Protocol (MCP) with hands-on code examples in C#, Java, JavaScript, Rust, Python, and TypeScript.
DataTalksClub / machine-learning-zoomcamp
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
NVIDIA-NeMo / Nemotron
Developer hub with training recipes, cookbooks, datasets, and end-to-end examples for building with NVIDIA's open Nemotron models.
GoogleCloudPlatform / generative-ai
Sample notebooks, code, and apps demonstrating how to build with generative AI models on Google Cloud.
fivethirtyeight / data
Public datasets and analysis code behind FiveThirtyEight's published articles and graphics.
wesm / pydata-book
Jupyter notebooks and code samples accompanying Wes McKinney's book on data analysis with Python, pandas, and NumPy.
datawhalechina / happy-llm
A Chinese-language tutorial book that teaches LLM principles and walks through building and training a small LLaMA2-style model from scratch.
karpathy / nn-zero-to-hero
A video course with Jupyter notebooks that builds neural networks and backpropagation from scratch, from basics to Transformer language models.
guipsamora / pandas_exercises
A collection of Jupyter notebook exercises with instructions and solutions for practicing pandas skills by topic.
duoan / TorchCode
Interactive Jupyter-based practice platform with 41 PyTorch problems, such as implementing softmax, attention, and GPT-2 from scratch, with automated grading.