DUCKQUANT / THE QUANT & AI DIRECTORY
1,177 resources, ranked by in-directory PageRank
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
The Open Source Geospatial Foundation is not-for-profit organization to empower everyone with open source geospatial. Directly supports projects as an outreach…
A curated list of awesome machine learning frameworks, libraries, courses, books and many more.
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and…
This repo will house all our course material and code snippets from the Introduction to Machine Learning Class
Repo for NYC Taxis: A Day in the Life, a data visualization that shows the movements and earnings of a single NYC taxi over…
A Swift Data Table package, display grid-like data sets in a nicely formatted table for iOS. Subclassing UICollectionView that allows ordering, and searching…
How to disable Firefox Telemetry and Data Collection
books: Fundamental programming with ruby examples and references. It covers threads, SOLID principles, design patterns, data structures, algorithms. Books for…
Training Exercises that cover language basics, Algorithms, Data Structures, OOP, and Functional Programming
Training Exercises that cover language basics, Algorithms, Data Structures, OOP, and Functional Programming
A command-line utility and Scrapy middleware for scraping time series data from Archive.org's Wayback Machine.
Datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world.
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning…
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
An chart library specialized for large-scale time-series data, built on WebGL.
Solutions to Andrew NG's machine learning course on Coursera
The original jQuery autocompleter. Does not need any other plugins. Supports local and remote data sets, plain text and JSON data, various options and…
Schedulis is a high performance workflow task scheduling system that supports high availability and multi-tenant financial level features, Linkis computing…
An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's…
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
Implementations in python of methods and programming assignments of course Machine Learning of Coursera by Andrew Ng
A sample code of data augmentation methods for wearable sensor data (time-series data)
Code repository for the online course Feature Engineering for Machine Learning
This monorepo is a collection of packages used across multiple MetaMask clients
Contains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics…
DataCamp data-science and machine learning courses
Series and Panels for Real-time and Exploratory Analysis of Data Streams
FotoSploit $ git clone https://github.com/Cesar-Hack-Gray/FotoSploit $ cd FotoSploit $ chmod +x $ bash install sh $ ./FotoSploit $ show options…
A repository for financial fraud detection
A repository for financial fraud detection
Rollup time-series data in Rails
PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".
