DUCKQUANT / THE QUANT & AI DIRECTORY
4,091 resources, ranked by in-directory PageRank
Clarion Intelligence System — Buffett-style investment research skills for Zo Computer. Market regime, SEC filing analysis, single-stock evaluation. yfinance + Zo-hosted models.
Public repository by yashwanthreddy7178. Primary language: Python.
Public repository by mazunai0. Primary language: Python.
Public repository by hereugo-ak. Primary language: Python.
This repository contains notes, assignments, and projects for the AI Camp 7-Day LLM challenge lead by Candice You.
Public repository by ShreyanshDangi. Primary language: Python.
A Retrieval-Augmented Generation (RAG) application for financial data analysis using DeepSeek LLM, built with Streamlit and powered by LangChain.
This repo contains financial workshop notebooks for demonstrating Redis capabilities for different RAG scenarios
Public repository by arun-chaudhary2205. Primary language: Python.
RAG chatbot for SEC 10-K filings with line-level citations. FastAPI + ChromaDB + Claude/OpenAI. Eval harness with Claude Opus judge.
Evaluation-driven financial RAG assistant with hybrid retrieval, citations, groundedness checks, and audit logging.
FinRAG - Financial RAG Chatbot, for large financial statement tables analysis with GPT-4o
Financial RAG assistant that allows users to query company annual reports and get insights using a language model.
Public repository by Satyam-Singh-x. Primary language: Jupyter Notebook.
Retrieval-Augmented Generation (RAG) system for precise financial query handling. This project, developed from scratch, utilizes advanced NLP techniques to deliver context-aware answers from financial…
Public repository by VenkateswaraRao18. Primary language: Python.
A Retrieval-Augmented Generation (RAG) system for financial data analysis and question-answering, built with Streamlit
Public repository by 848142287. Primary language: Python.
financial RAG application
A production-grade financial RAG engine. Features Hybrid Search (Dense+Sparse), Cross-Encoder Reranking, and On-Device OCR for intelligent receipt analysis.
🚀 Multimodal Financial RAG using LangChain, LLaMA 3.3–70B (text), LLaMA 3.2–11B Vision (image), Whisper (audio), and Weaviate. Enables intelligent Q&A over financial reports, charts,…
Public repository by SruthiReddy7. Primary language: Python.
A lightweight, fully local Retrieval-Augmented Generation (RAG) system for querying SEC 10-K filings. Built with MiniLM embeddings, FAISS vector search, and Ollama (llama3.2), it…
Financial Intelligence RAG System — semantic caching, anti-hallucination, confidence scoring & query rewriting built with FastAPI + LangChain + FAISS
Hybrid retrieval-augmented generation(RAG) pipeline for financial document.
Production-grade RAG system for financial regulatory documents (SEC/SEBI) — LangChain, LangGraph, Pinecone, FastAPI, React
All CPU efficient GPU-less Financial Analysis RAG Model with Qdrant, Langchain and GPT4All x Mistral-7B, run RAG without any GPU support!
Public repository by Alfroul. Primary language: Python.
Public repository by sheikhabd22. Primary language: Python.
Public repository by PhealenWang. Primary language: Python.
A deep learning trading bot written in Python. UNDER ACTIVE DEVELOPMENT.
Resource repo for invaluable resources regarding deep learning, trading, and cryptocurrency.
