xyang2316

xyang2316

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pytorch_geometric

Graph Neural Network Library for PyTorch

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LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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gcn

Implementation of Graph Convolutional Networks in TensorFlow

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t81_558_deep_learning

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

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CLRS

đź“š Solutions to Introduction to Algorithms Third Edition

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CogDL

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

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MedicalZooPytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

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uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

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MICCAI-OpenSourcePapers

MICCAI 2019-2023 Open Source Papers

temperature_scaling

A simple way to calibrate your neural network.

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planetoid

Semi-supervised learning with graph embeddings

Language:PythonLicense:MITStargazers:877Issues:22Issues:19

edward2

A simple probabilistic programming language.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:677Issues:18Issues:117

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

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evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

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pytorch-apple-silicon

Setup PyTorch on Mac/Apple Silicon plus a few benchmarks.

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TransBTS

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

Language:PythonLicense:Apache-2.0Stargazers:387Issues:2Issues:54

GCNII

PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

LanczosNetwork

Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

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torchsummaryX

torchsummaryX: Improved visualization tool of torchsummary

GraphNAS

This directory contains code necessary to run the GraphNAS algorithm.

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MUSAE

The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)

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awesome-graph-ood

Papers about out-of-distribution generalization on graphs.

awesome-auto-graph-learning

A paper collection about automated graph learning

CodeSignal-WorkingSolutions

This repository includes my solutions for the arcade challenges in CodeSignal. All of them are fully functional. However, any recommendations for optimisation are welcome!

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dblp

Parse the dblp data into a structured format for experimentation.

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Graph-Posterior-Network

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)

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CaGCN

This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".

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Enhancement-of-Brain-MRI-Tumor-Segmentation-using-Multimodality-Learning

Brain tumor segmentation of Brats 2019 with Multimodality Learning

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automated-graph-neural-network-paper-list

This repository lists recent automated graph neural network papers