Kevin Bronik (kbronik2017)

kbronik2017

Geek Repo

0

following

0

stars

Company:Oxford University

Location:Oxford

Home Page:https://kbronik2017.github.io/

Github PK Tool:Github PK Tool


Organizations
UCL-CCS

Kevin Bronik's repositories

FEM_fracture_contact_mechanics

Mesh-independent treatment for straightforward modelling of (non-linear) fracture mechanical processes using a mixed mode cohesive zone method

Language:C++License:GPL-3.0Stargazers:10Issues:2Issues:0

Java_srcML_XOM

Using srcML (https://www.srcml.org/) and a XML manipulation library (XOM: http://www.xom.nu), a java code for transformation that injects a print statement after each assignment statement in the input Java program

Language:JavaStargazers:1Issues:0Issues:0

MEX_CUDA_OPENMP_UCL

MATLAB CUDA OPENMP (Sparse and Dense matrix manipulation)

Language:CudaStargazers:1Issues:1Issues:0

Multi_Label_Segmentation_UCL

Multi-Label Multi/Single-Class Image Segmentation

Language:PythonLicense:GPL-3.0Stargazers:1Issues:1Issues:0

DCT_DST_CUDA_MATLAB_UCL

DCT DST CUDA MATLAB (One to Four, double and single)

Language:CudaStargazers:0Issues:1Issues:0

DRTNN

Deep Residual Transformer Neural Network (DRTNN)

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

FabMD

FabMD is a FabSim3 plugin for automated LAMMPS-based simulations.

Language:PythonStargazers:0Issues:0Issues:0

FabNEPTUNE

FabNEPTUNE is a FabSim3 plugin for automated NEPTUNE (UKAEA’s fusion project)-based simulations

Language:C++License:GPL-3.0Stargazers:0Issues:0Issues:0

FabSCEMa

FabSCEMa is a FabSim3 plugin for automated SCEMa-based simulations.

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

MS_UCL

Adaptive Deep Multi-task Learning Framework for Image Segmentation (Cross Sectional and Longitudinal data analysis)

Language:PythonLicense:GPL-3.0Stargazers:0Issues:1Issues:0

Non_Euclidean_UCL

Variational Deep Learning models for non Euclidean structure

Language:PythonLicense:GPL-3.0Stargazers:0Issues:1Issues:0

FabSim3

Python 3 version of FabSim

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:0Issues:0

kbronik2017.github.io

kbronik2017.github.io

Language:PHPLicense:NOASSERTIONStargazers:0Issues:0Issues:0

Machine_Learning_Cancer_Research_UCL

Machine learning and Artificial Intelligence for time series analysis (algorithms to analyze serial multi-dimensional data to predict prostate cancer progression)

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

Performance_analysis_UCL

Important performance metrics (can be used to evaluate algorithmic performance against a manual segmentation)

Language:ShellStargazers:0Issues:0Issues:0
Language:PythonLicense:MITStargazers:0Issues:0Issues:0
Language:MATLABStargazers:0Issues:0Issues:0