DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
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code repo for PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management
[ICAIF 2024] Adaptive and Explainable Margin Trading via Large Language Models on Portfolio Management
HexaFinance is a production-grade financial simulation platform built with Clean/Hexagonal Architecture in Go and a Python (FastAPI + LangGraph) multi-agent AI
Explainable AI (XAI) based system for detecting financial fraud using machine learning, with model interpretability, analysis, and research-backed
Awesome list of quantitative research, systematic trading, market microstructure, and ML-for-trading resources.
Code repo for the paper "SpinQuant LLM quantization with learned rotations"
Unlock the power of machine learning for predicting loan approvals. This repository hosts code and resources to streamline the loan approval process. Data
Dynamic DeepHit is a novel machine learning model designed to handle time-varying covariates in the context of credit risk
Machine Learning Case Study on Credit Loans
Business Problem: Dataset of a bank with 10,000 customers measured lots of attributes of the customer and is seeing unusual churn rates at a…
Innovative solution for credit scoring leveraging machine learning to predict credit risk using The International Bank for Reconstruction and Development
Machine-Learning project that uses a variety of credit-related risk factors to predict a potential client's credit risk. Machine Learning models include
A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journey was used…
Digital advertising is becoming increasingly important. At the same time, however, the problems of this type of marketing are becoming more and more apparent
Awesome list for LLM quantization
A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models
Personal fund/stock management platform with Hermes-Lite AI agent, investor profiles, report styles, DCA helper, Skill marketplace and Docker deployment
SamurAI Stocks is a cutting-edge stock analysis application that empowers both novice and experienced investors with comprehensive tools and insights to make
Platform Cloud Aquaculture berbasis AI untuk investor & manajer tambak — prediksi pertumbuhan ikan, optimasi pakan, dan analisis risiko mortalitas dengan
Alpha Foundry is an AI-powered stock ranking and propensity modeling platform that leverages machine learning, learning-to-rank algorithms, and predictive
AI-Based Investor-Startup Matchmaking Platform
AIphen Financial Assistant is a web application designed to bridge the gap in financial literacy for investors in India. The platform provides AI-driven
AI-Powered Startup Assessment Platform: A React-based web app helping startups evaluate and enhance their investor readiness through comprehensive AI analysis
PitchLense is a comprehensive AI-powered startup analysis platform that provides detailed risk assessment and growth potential evaluation for early-stage
AI-powered financial analysis platform that tracks SEC filings to reveal what institutional investors, activist funds, and insiders thinks about publicly
AI-powered startup pitch platform — founders pitch ideas, get instant Gemini AI feedback, and connect with investors. Built with Next.js 16, Sanity CMS
Numerous companies from financial indutry often invest considerable resources to improve their predictive models with the aim of having better insights into
This notebook aims to show that machine learning models are exposed to risks like risks of bias, and to introduce some simple techniques to…
This project focuses on leveraging advanced data analytics and machine learning techniques to develop a comprehensive credit risk assessment, credit scoring
A Machine learning project for automated loan approval prediction in banking. Built with Python, scikit-learn, and pandas. Features comprehensive EDA, 4 ML
AI-Driven, Self-Optimizing LendingProtocol leverages Machine Learning to deliver Intelligent Credit Risk Assessment, powering a Decentralized Digital Lending
A comprehensive machine learning solution for assessing credit risk in the banking sector. This project leverages advanced algorithms to evaluate and classify
Machine learning service for predicting the risk of payment delinquency of a bank customer
Predicting the ability of a borrower to pay back the loan through Machine Learning Models. Logistic regression, decision tree, XGBoost, and LightGBM models are
This project automates bank credit risk assessment using AI and machine learning models to predict loan defaults. It streamlines the credit process with
Machine learning project for predicting credit risk using Logistic Regression, Decision Tree, and Random Forest
