Himashi Amanda Peiris's starred repositories
suggested-notation-for-machine-learning
This introduces a suggestion of mathematical notation protocol for machine learning.
itkwidgets
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
Analysing-Point-Cloud-File-Using-Python
PCD data recorded via Trimble SX12
Python-Class-for-Waveshare-USB-CAN-A
This is a python class for Waveshare USB-CAN-A and python class for imuf99pl imu sensor.
Journal-Club
The RISE Journal Club aims to create a friendly environment to discuss the latest state-of-the-art papers in the areas of medical image analysis, AI and computer vision. The moderators will briefly introduce the paper and then moderate a discussion where everyone is welcome to provide their thoughts and ask any questions on the paper.
Mask2Former
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
GNSS-RTK-Client-ssl
This code can be used to automatically get the nearest Mountpoint for GNSS RTK applications. And receive RTCM3 data. The GUI can be use for quick testing.
poincare-embeddings
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
CLIP-Driven-Universal-Model
[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
TotalSegmentator
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
pytorch-deeplabv3plus-3D
Deeplabv3 plus 3D version (in pytorch)
ctOrganSegmentation
Morphological organ segmentation for CT scans
Awesome-Hyperbolic-Representation-and-Deep-Learning
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Diffusion-based-Segmentation
This is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".
Semantic-Segmentation-For-Dust-Cloud
This repository contain code base for the paper "Semantic Segmentation Model Performance on Vehicle-induced Dust Cloud Identification on Unsealed Roads"
Dust-Cloud-Identification
This GUI code base can be used to identify dust clouds from a Video or an Image.
Automatic_Thresholding
This application can be used to quickly view how different Thresholding Methods work on images. Selected threshold method can be applied for bulk images in a folder, results are saved in a user selected folder with histograms.