DUCKQUANT / THE QUANT & AI DIRECTORY
1,177 resources, ranked by in-directory PageRank
Uncensored Everpix metrics, financials and business data for your perusing
I2P is an anonymizing network, offering a simple layer that identity-sensitive applications can use to securely communicate. All data is wrapped with several…
A crash course in six episodes for software developers who want to become machine learning practitioners.
Beringei is a high performance, in-memory storage engine for time series data.
OpenVDB - Sparse volume data structure and tools
All notes and materials for the CS229: Machine Learning course by Stanford University
Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and…
A curated list of data mining papers about fraud detection.
USC urban data science course series in Python
Limit Order Book for high-frequency trading (HFT), as described by WK Selph, implemented in Python3 and C
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
EPFL Course - Optimization for Machine Learning - CS-439
Scripts and doc for https://www.dolthub.com/repositories/chenditc/investmentdata
General Assembly's 2015 Data Science course in Washington, DC
A d3 heatmap for representing time series data similar to github's contribution chart
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science…
A fully-searchable and accessible archive of court data including growing repositories of opinions, oral arguments, judges, judicial financial records, and…
Courses, Articles and many more which can help beginners or professionals.
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance…
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with…
This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.
Data structures and algorithms
Time series data visualization software
Novel Coronavirus 2019 time series data on cases
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
A Java package to automatically detect anomalies in large scale time-series data
Making data lake work for time series
Visualize large time series data with plotly.py
The notebooks we use on ML course
JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily
Public repository by 0burak. Primary language: C++.
Easy to use .NET library for data and time series manipulation and for scientific programming
A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
Exercises and supplementary material for the machine learning operations course at DTU.
my octave exercises for 2011 stanford machine learning class, posted after the due date of course
This repository contains whole material of 40 days course on Python for Data Science in Urdu/Hindi 2023 Details are here: Registration details of our…
