Repository Index

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

• ml
• data-science
• machine-learning
• machine-learning-algorithms

Learn how to develop, deploy and iterate on production-grade ML applications.

• machine-learning
• deep-learning
• pytorch
• natural-language-processing

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

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

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

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

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

Learn how to design, develop, deploy and iterate on production-grade ML applications.

• machine-learning
• deep-learning
• pytorch
• mlops

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

• agents
• ai-systems
• fine-tuning
• llm

TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning

• gpu-programming
• llm
• nlp
• rl

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

• pytorch
• nlp
• deep-nlp-models
• stanford-univ

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

• mathematics
• linear-algebra
• python
• jupyter

Machine Learning University: Accelerated Natural Language Processing Class

• machine-learning
• natural-language-processing
• deep-learning
• python

Deep Reinforcement Learning: Zero to Hero!

• deep-reinforcement-learning
• reinforcement-learning
• deep-learning
• machine-learning

For extensive instructor led learning

• machine-learning
• scikit-learn
• linear-regression
• nearest-neighbors

General Assembly's 2015 Data Science course in Washington, DC

• data-science
• machine-learning
• scikit-learn
• data-analysis

Materials for GWU DNSC 6279 and DNSC 6290.

• data-science
• data-mining
• data-visualization
• machine-learning

Exercises for the lecture "Selected Topics in Audio Signal Processing"