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Starred repositories
Offical implementation of "Life-Harness"
Skills for Real Engineers. Straight from my .agents directory.
Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems by Antonio Gulli
An agentic skills framework & software development methodology that works.
An open-source, AI-integrated, cross-platform terminal for seamless workflows
Breakthrough Method for Agile Ai Driven Development
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.
Copilot Chat extension for VS Code
A multi-module course teaching everything you need to know about using GitHub Copilot as an AI Peer Programming resource.
"RAG-Anything: All-in-One RAG Framework"
An open-source AI agent that brings the power of Gemini directly into your terminal.
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
This repo provides the server side code for llmsherpa API to connect. It includes parsers for various file formats.
A machine learning software for extracting information from scholarly documents
A set of LangChain Tutorials from my youtube channel
Data Science with python
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
A collection of Bayesian data analysis recipes using PyMC3
Bayesian Data Analysis demos for Python
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes mos…
RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
Examples and guides for using the OpenAI API
some general examples based in techinical meetings and trainings
Use vector search or embedding technique to feed addtional knowledge base to LLM like GPT-3, BLOOMZ