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Discontinuous Galerkin Infrastructure For the finite element toolbox Ferrite.jl
This project aims to implement the necessary infrastructure for the Discontinuous Galerkin method in the finite element toolbox Ferrite.jl. This will...
Extending GraphNeuralNetworks.jl to support Temporal Graphs
The purpose of this project is to add Temporal Graph Neural Networks (TGNNs) to GraphNeuralNetworks.jl. The first part of the project will be...
Learning from Imbalanced Data with Julia
The objective of this project is to implement a class imbalance package in Julia with algorithms to correct for class imbalance. The package is...
JuliaHealth's Tools for Patient-Level Predictions: Strengthening Capacity and Innovation
Working with the OMOP CDM (Observational Medical Outcomes Partnership Common Data Model) involves handling large datasets that require a set of tools...
Introducing a implementation of distributed arrays and linear algebra routines for Dagger.jl
This proposal intends to implement a distributed array for the Dagger.jl package, loosely inspired on DistributedArrays.jl and improving on the...
Building an Intelligent Search System for Documenter.jl
The goal of this project is to improve the user experience of search functionality provided by Documenter.jl by building an intelligent search system...
GPU Acceleration for PDE Discretization in Trixi.jl using CUDA
GPU computing provides substantial performance gains over CPU-based methods for computationally demanding tasks. Trixi.jl, a Julia numerical...
Empowering Julia-based Data Science with MLflow
MLFlowClient.jl lacks of updates regarding new features coming from the original Python package. Some effort is needed to ensure new version methods....
TopOpt.jl -- introducing more physics and problem types (Heat Compliance, Fluid Flows)
TopOpt.jl currently supports only linear elastic type problems (meaning a limited set of physics), but, naturally, several other sorts of topology...
Survey.jl is a Julia package for survey analysis inspired by the R package 'survey'. It aims to address the unique challenges associated with the...
Implementing Scalable Bayesian Optimization in Julia
The main task of this project is to implement a modern Bayesian optimization method TuRBO in Julia, extending BayesianOptimization.jl package. The...
GPU Support for QuantumClifford.jl
QuantumClifford.jl is a package designed for simulating Quantum Clifford circuits, circuits that consist of Clifford gates. QuantumClifford.jl can be...
Development of Attractors.jl
The main aim of this project is to expand the capabilities of Attractors.jl. We are specifically targeting three features, which are the Minimal...
Development of a Modular and Composable Variational Inference and Normalizing Flow Library for Julia
Zuheng (David) Xu
We propose to create a modular and composable library for variational inference and normalizing flow methods that emphasizes GPU compatibility and...