microsoft / autogen
A programming framework for agentic AI 🤖
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A programming framework for agentic AI 🤖
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Course Files for Complete Python 3 Bootcamp Course on Udemy
Free MLOps course from DataTalks.Club
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
Cloud-native SIEM for intelligent security analytics for your entire enterprise.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Neo4j graph construction from unstructured data using LLMs
The fastai book, published as Jupyter Notebooks
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.
10 Weeks, 20 Lessons, Data Science for All!
Making Protein folding accessible to all!
Taming Transformers for High-Resolution Image Synthesis
🦜🔗 Build context-aware reasoning applications
Examples and guides for using the Gemini API