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Quadratic Identifiers (Qu.Id) is a resolution protocol for persistent digital object identifiers.
Quadratic.Network. Decentralized archiving using peer-to-peer database storage and network replication. Data associated with a work will be stored, replicated and distributed by the owner(s) of the...
The scientific Python development environment
This project uses simple moving average (SMA) crossovers to select stocks in Nifty500. The SMAs are selected after backtesting on last 3 years of data. We use yfinance python API to download the ...
A Python script that anonymizes an Excel file and synthesizes new data in its place. Excel Anonymizer is a python script that helps to ensure sensitive data is properly managed and governed. It pr...
ExplainableAI is a tool that helps people understand how AI makes decisions. It uses machine learning techniques and clear explanations to show what's happening inside AI systems. Our package offer...
Python package for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Skforecast is a Python library for time series forecasting using statistical and machine learning models. It aims to make state-of-the-art forecasting accessible through simple, unified, and produc...
Open Source AI Co-Pilot For Data Analytics & Business Insights
cienciadedatos.net is an established open educational resource providing free, high-quality, practical tutorials on statistics, machine learning, and data science with Python and R. It currently se...
sktime is the unified AI framework for time series. The unified API supports model building, fitting, application, and validation. It has support for a variety of learning tasks including forecasti...
This project aims to provide DataFrame to D programming similar to Python Pandas. DataFrame library helps organizations to use D programming language for analysing financial market data or other da...
Dual/tri-GPU multi-agent simulation framework. Orchestrates LLM-powered agents across GPU slots with FLAME population dynamics, Bayesian calibration (ABC-SMC), sensitivity analysis (Morris/Sobol), ...
Our primary studio project where we produce open, interactive data stories. We focus on investigating civic issues, culture, and government data, providing free access to our tools, datasets, and e...