DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
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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.
a collection of open source server components and Python libraries for financial data projects and automated trading
Temporian is an open-source Python library for preprocessing and feature engineering temporal data for machine learning applications
Resources for working with time series and sequence data
WeDataSphere is a financial grade, one-stop big data platform suite.
HISTDATA - Dataset composed of all FX trading pairs / Crude Oil / Stock Indexes. Simple API to retrieve 1 Minute data (and tick…
Finance application that provides more than 60 different alternative data to retail investors
General Assembly's Data Science course in Washington, DC
Simple algorithmic stock and option trading for Node.js.
Parent module to include active modules
HyperCube is a revolutionary, high-performance decentralized computing platform. HyperCube has powerful computing capabilities to provide high-performance…
Avellaneda-Stoikov HFT market making algorithm implementation
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
Python package for scraping real estate property data
Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
A Deep Graph-based Toolbox for Fraud Detection
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating…
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
code and data for the time series analysis vids on my YouTube channel
General Assembly's Data Science course in Washington, DC
The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then…
The Financial Industry Business Ontology (FIBO) defines the sets of things that are of interest in financial business applications and the ways that those…
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…
A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand…
AllTick real-time financial market data API with REST and WebSocket access to stocks, forex, crypto, commodities, and indices.
Public repo for the 365 Data Science ML Process Course
machine learning course programming exercise
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
An Integrated Experimental Platform for time series data anomaly detection.
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
Lightweight KVO-based data binding options.
