Stars
Code to follow along with CinC25 paper
Predicting VO2max values using wearable sensor data. Specifically we are comparing the contribution of short and long term HRV to these predictions.
This repository contains code for performing segmentation of menisci from 3D MR images
Comparison of exisiting open-source SQI tools by incrementally increasing noise of ECG signals using a synthetic ECG generator.
GraphXAI: Resource to support the development and evaluation of GNN explainers
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
[NeurIPS'22] An official PyTorch implementation of PTv2.
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
C++ implementation for the cut pursuit algorithm, with Matlab interfaces
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Open3D: A Modern Library for 3D Data Processing
An extension of Open3D to address 3D Machine Learning tasks
Keep it simple, stupid 3d graphics engine for Rust.
A cross-platform GUI library for Rust, inspired by Elm
A rust drawing library for high quality data plotting for both WASM and native, statically and realtimely 🦀 📈🚀
Differentiable Point Cloud Sampling (CVPR 2020 Oral)
Iconic fonts in PyQt and PySide applications
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis