Time series clustering involves grouping similar time series data together based on specific features or patterns. Deep learning algorithms have...

NeuralPDE.jl is a high performance Julia package to solve differential equations using neural networks. This proposal aims to improve the sampling...

The project aims to enhance nx-parallel, a newly added parallel backend for NetworkX, by introducing a configuration manager that would let users...

The Gradient Ascent Pulse Engineering (GRAPE) algorithm has been implemented in QuTiP, facilitating a model-based approach to quantum optimal...

Large scale simulation of scientific and engineering problems requires high performance and distributed memory systems. Computing resources and time...

This project aims to enhance PyBaMM's packaging infrastructure by migrating from setuptools and wheel to scikit-build-core, providing improved...

The JupyterLab application relies heavily on plugins sourced from the Lumino project. Currently, all plugins load at startup, significantly...

Accounting for spectral effects in photovoltaic (PV) performance models is critical for accurate and reliable performance forecasts. Variation in the...

This project will implement and benchmark the Proximity Forest Algorithm for Time Series Classification in aeon. With the ever-increasing data, the...

This proposal aims to add a variety of scientific utilities to the pvlib python project that will focus on new models and research tools regarding...

Algebraic multigrid (AMG) methods are one of the most popular techniques to solve systems of linear equations in structural mechanics. Parallel AMGs...

Develop aeon-neuro to provide structured tools for machine learning from neural data. This project will focus on implementing algorithms for EEG...

PyTensor is a Python library that allows you to define, optimize/rewrite, and evaluate mathematical expressions involving multi-dimensional arrays...

Accurate modeling of cell temperature is essential for estimating the performance of PV systems. However, very few models exist for calculating cell...

This project aims to improve the analysis of experiment reproducibility within the noWorkflow scientific workflow framework. noWorkFlow is a library...

Bambi (BAyesian Model Building Interface) is an open source Python package designed to make it easier for practitioners to build statistical models...

The goal of this project is to implement Physics-Informed Point Networks (PIPNs) in Julia to solve partial differential equations (PDEs) on irregular...

PyDataStructs aims to be a Python package for various data structures and algorithms (including their parallel implementations). My project involves...

I propose the implementation of the Pathfinder algorithm for variational inference in PyMC. The Pathfinder algorithm is a recent advancement in the...

The UI Toolkit serves as a component library tailored for crafting web interfaces within the Jupyter ecosystem, encompassing platforms such as...

DeepForest is a library for training and deploying deep learning models for forestry tasks. The library is built on top of the PyTorch deep learning...

This proposal aims to address the key challenges in UAV-based object detection, with a specific focus on identifying and locating birds' nests from...

This proposal outlines a project aimed at enhancing the security posture of NumFOCUS affiliate projects by implementing the OSSF Scorecard action and...

Multigrid methods shape the method of choice when a self containing family of triangulations of a FEM discretization is at hand to achieve an optimal...

Goal of this project is to improve PyBaMM's test suite by migrating from Unittest to Pytest. This would include but is not limited to : rewriting all...

The project aims to seamlessly integrate JAX's jit and auto-differentiation functionalities into QuTiP, a quantum computing simulation library,...

This project would integrate the current state-of-the-art 3D reconstruction method in computer graphics namely "Gaussian splatting" with existing...

Surrogate based models are all the rage in scientific computing right now, and rightly so. However, there are cases where a fully data driven...

ArviZ is a package for the exploratory analysis of bayesian inference models. The current Python release of ArviZ involves three major modules that...

PreliZ is a Python package aimed at helping practitioners choose prior distributions by offering a set of tools for various facets of prior...

The builder tooling of JupyterLab is directly integrated in the core codebase. This causes maintenance to become a burden for both core developers...

The project aims to improve the quantum circuit visualization capabilities of QuTiP-QIP by introducing a new framework for circuit rendering that...

Our project aims to enhance Taskflow's work-stealing scheduler by implementing a worker-specific notification module. This will provide finer control...

The project aims to build and publish python-cookiecutter templates for new PyBaMM-based projects. It is designed to simplify the setup process of...

The project aims to create an intuitive tool in React for browsing AiiDA graphs, replacing the outdated AiiDA Provenance Browser in Materials Cloud...

PyMC uses PyTensor as its computational backend, which allows efficient optimisation, rewrites and evaluation of mathematical operations. Using a...

Multivariate data visualization is useful when grappling with correlated data that naturally arises in a number of scientific fields, such as...