microsoft / ai-agents-for-beginners
12 Lessons to Get Started Building AI Agents
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12 Lessons to Get Started Building AI Agents
21 Lessons, Get Started Building with Generative AI
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Repo to accompany my mastering LLM engineering course
Anthropic's Interactive Prompt Engineering Tutorial
Time-Series-Optimized Transformer for Observability
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Repo for the Complete Agentic AI Engineering Course
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Python Data Science Handbook: full text in Jupyter Notebooks
Python - 100天从新手到大师
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.