DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 6,553–6,588 of 14,444 resources
Algorithm implementations and homework solutions for the Stanford's online courses
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
The code from the Machine Learning Bookcamp book
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
Machine learning course materials.
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
1.[Script Termux] -Cmatrix apt-get update apt-get upgrade apt-get install nmap apt-get install python apt-get install list apt-get install cmatrix cmatrix…
A distributed system designed to ingest and process time series data
Graph Machine Learning course, Xavier Bresson, 2023
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
Agent-first CLI for trading on Solana — 18 DEX adapters, 12 SWQoS TX landing processors. Buy, sell, lp, snipe, create pool, launch coin, and…
Cryptocurrency historical price data library in Python. Data from https://coinmarketcap.com.
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
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
Calculates various features from time series data. Python implementation of the R package tsfeatures.
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
Quantitative finance research tools in Python
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.
chartwithupwardstrend: Python package for trend detection on stock time series data :chartwithdownwardstrend
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…
Technical indicators for cryptocurrencies, stocks and forex. To work with historical and real price data. One of the most efficient Javascript library…
Encrypt and decrypt data using private/public keys
Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.
Automated image Editing, Optimization and Analysis via CLI and a web interface. You give to lepto your input and output directories, the plugins you…
