DUCKQUANT / THE QUANT & AI DIRECTORY
2,336 resources, ranked by in-directory PageRank
Publication: F$^2$Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading. Published Aug 6, 2026.
Formula WorkPaper and XLSX recalculation runtime for Node.js services and agent tools
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo
MCP - Exact computation and conjecture testing across polynomial maps, linear algebra, and graph algorithms for agent-driven mathematical research
module to get real-time stock data from Google Finance API
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data
Financial intelligence API with verified market data, trading signals, sentiment analysis, and fact-checking across 1,061+ tickers
Public repository by trustless-ai. Primary language: Solidity.
MCP server for live trend data. Query Google Search, YouTube, TikTok, Reddit, Amazon, Wikipedia, News sentiment, Web Traffic, App Downloads, Steam, npm and more.…
Wiseek Filing Impact Monthly — free citable statistics on how SEC filings move stocks (CC BY 4.0)
Machine Learning in Finance: From Theory to Practice Book
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks…
Your agents don’t hand off the work. Kungfu keeps the same Work moving across Codex, Claude, OpenCode, and your own execution surface.
Sharing machine learning course / lecture notes.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Open Machine Learning Course
Fast and Accurate ML in 3 Lines of Code
Discover the latest machine learning / AI courses on YouTube.
FinGPT: Open-Source Financial Large Language Models! Revolutionize We release the trained model on HuggingFace.
Awesome free machine learning and AI courses with video lectures.
Open Machine Learning course
A toolkit for time series machine learning and deep learning
Synthetic data generators for tabular and time-series data
A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data…
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management…
High Frequency Trading Price Prediction using LSTM Recursive Neural Networks
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation…
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram…
I am Duncan, a cofounder at Rose City Robotics. This public repository is used as an easy to update list of resources for AI…
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
