Highlights
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Clean, minimal, accessible reproduction of DeepSeek R1-Zero
This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.
Medical question and answer dataset gathered from the web.
GraphAny: Fully-inductive Node Classification on Arbitrary Graphs
A networkx backend that uses joblib to run graph algorithms in parallel.
Official code repository for: DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning (COLM 2024)
Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust
Seamlessly integrate LLMs into scikit-learn.
Lightning-fast serving engine for any AI model of any size. Flexible. Easy. Enterprise-scale.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Speech To Speech: an effort for an open-sourced and modular GPT4-o
Pen and paper exercises in machine learning
π OpenHands: Code Less, Make More
Using Python, GPT4 and LangChain to Generate Custom Anki Decks
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery π§βπ¬
The nnsight package enables interpreting and manipulating the internals of deep learned models.
Together Mixture-Of-Agents (MoA) β 65.1% on AlpacaEval with OSS models
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
A programming framework for agentic AI π€ PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
Visualizer for neural network, deep learning and machine learning models
Magnificent app which corrects your previous console command.