12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
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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
Python training for business analysts and traders
- python
- jupyter
- jupyterlab
- binder
YSDA course in Natural Language Processing
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
The repository host gives no description.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Repositório do lab "Contribuindo em um Projeto Open Source no GitHub" da Digital Innovation One.
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
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
- agent
- agentic
- agentic-ai
- agentic-rl
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
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
- agentic-ai
- langmem
- mcp
- openai-api
Materials for the Hugging Face Diffusion Models Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
- deep-reinforcement-learning
- qlearning
- deep-learning
- tensorflow-tutorials
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
- cnn
- rnn
- detection
- classification
Open Machine Learning course
- machine-learning
- python
- course
- deep-learning
All notes and materials for the CS229: Machine Learning course by Stanford University
- machine-learning
- stanford-university
- neural-networks
- cs229
A complete course for learning Bitcoin programming and usage from the command
Learn how to design, develop, deploy and iterate on production-grade ML applications.