sbi is an open-source Python package used for simulation-based inference. It provides an interface for running algorithms that are used to identify...

This project proposes the development of a reusable and extensible Hamiltonian Library within the QuTiP framework. It aims to organize common quantum...

This project aims to enhance the performance of the NetworkX library by parallelizing graph algorithms using the joblib backend in nx-parallel....

State-space models (SSMs) provide a flexible framework for modeling dynamic systems where latent states evolve over time. In econometrics, Dynamic...

This project focuses on implementing a versioning system for the DISCOVER Cookbook, enabling seamless navigation across distinct documentation...

Stochastic dynamical systems play an important role in scientific and engineering domains, particularly in systems governed by Brownian motion or...

Time series forecasting is paramount in many domains, including finance, healthcare, energy, and climate science. This project suggests incorporating...

Community detection is one of the most commonly used network analysis techniques. It is the process of grouping nodes of a network together based on...

The bayesplot package is a key tool in the Stan ecosystem for visualizing Bayesian analysis results. However, it currently lacks specialized...

Currently, the Cookbook has multiple resources that can help any event became inclusive and accessible to everyone. However, its accessibility...

The LiftOver2D project aims to develop a high-performance tool for converting Hi-C matrices between different genome assemblies and binning schemes....

In the Python Spatial Analysis Library (pysal), the spopt package is concerned with the formulation and solving of various spatial optimization...

optimagic is a optimization library which aims to provide a unified interface to optimizers from SciPy, NlOpt and many other widely used packages....

This project aims to test the performance of |toqito⟩ and compare it with other quantum computing libraries. It is divided into three parts: (1)...

This project aims to extend the capabilities of the ONNX-to-mlpack converter by adding support for more advanced and diverse model architectures. The...

The project aims to enhance the functionality of optimagic by adding support for a wider range of numerical optimization libraries.The goal is to...

sbi is a Python package providing simulation-based inference tools for researchers and practitioners; given simulation results, sbi aims to infer the...

This project aims to implement the RUBI integration system - a powerful, open source, rule-based integration system developed for the computational...

This project will make the addition and sharing of third-party battery models easier in PyBaMM. It is an extension of the PyBaMM cookiecutter project...

A key component of Bayesian inference is integrating over prior distributions to obtain posteriors. In practice however, these distributions are...

This project addresses the need for enhanced usability and learning resources within the toqito quantum information library by creating a...

This project aims to enhance DeepForest by integrating and extending the active learning capabilities from Weecology/BOEM into its training pipeline....

Template Numerical Library (TNL) already includes several solvers for partial differential equations, such as the Finite Element Method (FEM),...

Seeing the current increasing demand of high performance batteries, accurate thermal modelling of battery behaviour is essential. This project...

This project aims to create a benchmark dataset for tree species classification using multi-sensor airborne data (RGB, HSI, and LiDAR) from the...

This project attempts to integrate DeepForest's object detection models into Large Language Models (LLMs) so that ecological images can be queried...

ArviZ is a Python library for the exploratory analysis of Bayesian inference models. It is currently undergoing a major refactor into a modular...

This project will investigate algorithms for forecasting based on traditional machine learning (tree based) and time series machine learning...

This project aims to develop a comprehensive Hamiltonian Library for QuTiP (Quantum Toolbox in Python). Currently, QuTiP users must frequently...

The `loo` package is a widely used R package in the Stan ecosystem which exposes a clean API to cross-validate (CV) Bayesian models. As new CV...

Graphs are powerful tools for understanding relationships and structures — from social media connections to brain networks. Often, we want to study...

This project aims to extend PySAL's spatial optimisation library (spopt) by implementing flow-based facility location models, specifically the Flow...