DUCKQUANT / THE QUANT & AI DIRECTORY
1,177 resources, ranked by in-directory PageRank
Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection…
BillRun - Open Source Billing and Fraud Detection System
FXModelValidation is an Objective-C library that allows to validate data/model/forms easily. Suits for any NSObject.
Library which contains several time-dependent data and index structures (e.g., IntervalTree, BucketTimeSeries), as well as algorithms.
Synthetic Data Generation for mixed-type, multivariate time series.
TensorFlow Probability；Time series model
Laravel Model JSON is a package that allows you to easily export data from specific models in your Laravel application to JSON format. It…
A Scrapy middleware for scraping time series data from Archive.org's Wayback Machine.
(no longer maintained) A simple yet robust (stock+options) API client for Robinhood
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
Options and Option Strategies analytics for educational purpose using the Black-Scholes Model
Sources of the book "Displaying time series, spatial and space-time data with R" (1st Edition)
Public repository by theopenstreet. Primary language: Jupyter Notebook.
Fraud Detection model based on anonymized credit card transactions
The Clymene is a time-series data and logs collection platform for distributed systems inspired by Prometheus and Jaeger.
Public repository by aaxwaz. Primary language: Jupyter Notebook.
THIS REPO HAS MOVED TO https://github.com/apache/incubator-iotdb. TsFile is a columnar file format designed for time-series data, which supports efficient…
The Time Series Data Library (TSDL) was created by Rob Hyndman, Professor of Statistics at Monash University, Australia.
Public repository by guigarage. Primary language: Java.
Embedded firmware for ham radio transceivers
A package for time series data processing, classification, clustering, and prediction.
Fast and efficient computation of rolling and expanding statistics for time-series data.
Fast and efficient computation of rolling and expanding statistics for time-series data.
Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
DistributedATS is a FIX Protocol based multi matching engine exchange(CLOB) that integrates QuickFIX and LiquiBook over DDS
Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks
Public repository by dziganto. Primary language: Jupyter Notebook.
Limit Order Book Implemented in Python
TalkingData AdTracking Fraud Detection Challenge
Automate a personal finance dashboard using the Plaid API, Google Sheets, and Data Studio. Build transformation rules to categorize everything to your liking.…
Fraud Detection on credit card transations
Jupyter notebooks that analyze COVID-19 time series data
Auto-archived due to inactivity. ## Functions for piecewise regression on time series data
This project aims to generate an ETL pipeline for SEC EDGAR system data dashboard and analysis.
Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
An unnamed app to categorize and visualize financial transactions data in OFX. Made with React + d3.
