Diana (dianaconst)

dianaconst

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Diana's starred repositories

ACM-ICPC-Preparation

ACM-ICPC Preparation Guide

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python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

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sort-google-scholar

Sorting Google Scholar search results based on the number of citations

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awesome-gnn

A list for GNNs and related works.

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back-blur

A simple opencv demonstration of background removal / blurring

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machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

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robotics-coursework

🤖 Places where you can learn robotics (and stuff like that) online 🤖

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RL-Library

A work in progress towards a reinforcement learning library.

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headpose_final

Human head pose estimation using Keras over TensorFlow.

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PlotNeuralNet

Latex code for making neural networks diagrams

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brats2023_updated

Kurtlab's code for BraTS 2023 submission

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ModelsGenesis

[MICCAI 2019] [MEDIA 2020] Models Genesis

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brain-tumour-segmentation

Code for automated brain tumor segmentation from MRI scans using CNNs with attention mechanisms, deep supervision, and Swin-Transformers. Based on my Master's dissertation project at Brunel University, it features 3 deep learning models, showcasing integration of advanced techniques in medical image analysis.

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Brain-Tumor-Segmentation

Brain Tumor Segmentation done using U-Net Architecture.

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code-blocks

Syntax highlighting for Google Docs

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Specformer

Transformer-based Spectral Graph Neural Networks

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MedSAM

Segment Anything in Medical Images

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STGCN-PyTorch

🚗 Implementation of spatio-temporal graph convolutional network with PyTorch

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graph-pde

Using graph network to solve PDEs

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ConGNN

Controlled graph neural networks with denoising diffusion for anomaly detection, Expert Systems with Applications 2023

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3D-medseg-pretraining

Project on discovering new effective pretraining methods for 3D medical image segmentation.

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graph-neural-pde

Graph Neural PDEs

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GREAD

GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023

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3D-augmentation-techniques

Chechink the performance of different augmentation techniques on the BraTS 2020 data.

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Brats2023

Gathering Resources for BRATS2023 Competition Preparation

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github-repositories-data

A bunch of files where for each file on every line there is a URL for github that was returned when searching for the filename.

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IGNN

Implicit Graph Neural Networks

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siren-pytorch

Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function

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