KCL-BMEIS/AdvancedMachineLearningCourse

Stars
7
Rank 2,294,772 (Top 46 %)
Language
Jupyter Notebook
Created almost 4 years ago
Updated over 3 years ago

KCL-BMEIS/AdvancedMachineLearningCourse

KCL-BMEIS

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Advanced Machine Learning Course

niftyreg

This project contains command line tools to perform rigid, affine and non-linear registration of nifti or analyse images as well as utilities

lbr_fri_ros2_stack

ROS 1/2 integration for KUKA LBR Med and IIWA

VS_Seg

Automatic Segmentation of Vestibular Schwannoma with MONAI (PyTorch)

NiftySeg

ScribbleDA

ExeTera

Reproducible analysis pipelines for large tabular datasets

mirror_symmetry

pymagewell

Python library for interfacing with Magewell ProCapture frame grabbers

vs-koos-classification

Scripts for Automated Koos Classifcation of Vestibular Schwannoma

Jupyter Notebook

KCL-DGX-cluster-documentation

fri

CMake support for KUKA's FRI Client SDK

spectrumdevice

Python library for communicating with digitisers manufactured by Spectrum Instrumentation

lbr_fri_ros2_stack_doc

DASHER

Data Anonymisation and Synchronisation for HEalthcare Research

runai_custom_conda_docker

RandomDataset

Generates random tabular datasets for testing and fun

xnat_python_scripts

Set of python scripts used to interact with XNAT mostly via the rest

trajectory_replay

labsnake

Real-time scientific data acquisition, analysis and visualisation desktop application in Python

kcl-bmeis.github.io

Repository that contains the source of the https://kcl-bmeis.github.io/ webpage

xnat_form_maker

Script to generate XNAT Form Plugins from Excell spreadsheets and RedCap Data Dictionaries

OOP

Updated course for OOP

gif

TWAISurgRob-OSS-List

A list of open-source software projects related to the CME - Pillar 3