alexfanjn/Graph-Neural-Networks-With-Heterophily
quality grade D, 43 out of 100This repository contains the resources on graph neural network (GNN) considering heterophily.
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Detection, segmentation, tracking, OCR models, 3D reconstruction and classical vision.
Signals: computer-vision, object-detection, image-segmentation, yolo, opencv, image-classification, pose-estimation, object-tracking
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This repository contains the resources on graph neural network (GNN) considering heterophily.
Multi-level Wavelet Convolutional Neural Networks
An efficient framework for convolutional neural networks
The Convolutional Neural Network(CNN) for Android
3D/Volumetric Convolutional Neural Networks with Theano+Lasagne
3D convolutional neural network for video classification
Generate human faces with neural networks
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
gvnn: Geometric Vision with Neural Networks
Multi-Graph Convolutional Neural Networks
Visualizer for Deep Neural Networks
darknet neural network addon for openFrameworks
Position-aware Graph Neural Networks
Traffic Graph Convolutional Recurrent Neural Network
Group Equivariant Convolutional Neural Networks
Brain Tumor Detection Using Convolutional Neural Networks.
Graph Markov Neural Networks
Convolutional Neural Networks Assignments
Library to implement graph neural networks in PyTorch
This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube
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Implementing OCR with a local visual model run by ollama.
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement
Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”
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