Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

A lightweight, powerful framework for multi-agent workflows

Neo4j graph construction from unstructured data using LLMs

An open-source RAG-based tool for chatting with your documents.

Generate a comprehensive review from an arXiv paper, then turn it into a blog post. This project powers the website below for the HuggingFace's Daily Papers (https://huggingface.co/papers).

A collection of GPT system prompts and various prompt injection/leaking knowledge.

Cache-Augmented Generation

A web-based tool for visualizing and exploring artifacts from Microsoft's GraphRAG.

An AI Hedge Fund Team

Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.

Your own API Hub to learn and master API interaction. Ideal for frontend, mobile dev and backend developers.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

A modern model graph visualizer and debugger

Calendars for various securities exchanges.

Collection of notebooks about quantitative finance, with interactive python code.

Collection of resources used on QuantPy YouTube channel.

Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"

LLaMA: Open and Efficient Foundation Language Models

Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.

Avellaneda-Stoikov HFT market making algorithm implementation

The MATH Dataset (NeurIPS 2021)

Normalizing flows in PyTorch