21 Lessons, Get Started Building with Generative AI
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
18 Lessons to Get Started Building AI Agents
- agentic-ai
- agentic-framework
- agentic-rag
- ai-agents
12 Weeks, 24 Lessons, AI for All!
Learn how to develop, deploy and iterate on production-grade ML applications.
10 Weeks, 20 Lessons, Data Science for All!
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
- csharp
- java
- javascript
- mcp
12 Weeks, 24 Lessons, IoT for All!
Learn ML engineering for free in 4 months! Register here 👇🏼
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
TensorFlow examples
- tensorflow
- tensorflow-examples
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
A course in reinforcement learning in the wild
- reinforcement-learning
- course-materials
- deep-learning
- deep-reinforcement-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
- deep-learning
- deep-neural-networks
- tensorflow
- tensorflow2
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
- deep-learning
- neural-network
- convolutional-networks
- pytorch
Repo for the Deep Reinforcement Learning Nanodegree program
- deep-reinforcement-learning
- reinforcement-learning
- reinforcement-learning-algorithms
- neural-networks
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
- deep-learning
- coursera
- coursera-assignment
- coursera-specialization
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
- navier-stokes-equations
- cfd
- jupyter-notebook
- python
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube
- huggingface
- peft
- transformers
Repo for the Deep Learning Nanodegree Foundations program.