AI Agent Skills

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

:earth_americas: machine learning tutorials (mainly in Python3)

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.

Build a modern LLM from scratch. Every line commented. Explained like we are five.

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Practical course about Large Language Models.

Deploy serverless AI workflows at scale. Firebase for AI agents

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug…

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle…

Optimized LLM-Powered Data Processing: up to 1000x speedups with fast, accurate query processing, that's as simple as writing Pandas code

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.