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Graph Representation Learning Book
Introduction to graph representation learning, including methods for embedding graph data, graph neural networks, and deep generative models of graphs.
graph-representation-learning graph-neural-networks knowledge-graphs book
Learning Representations via Graph-structured Networks
Introduce a series of effective graph-structured networks, including non-local neural networks, spatial generalized propagation networks, etc.
graph-neural-networks graph-structured-networks non-local-neural-networks spatial-generalized-propagation-networks
A Visual Guide to Self-Labelling Images
A self-supervised method to generate labels via simultaneous clustering and representation learning
self-supervised-learning image-clustering computer-vision illustrated
Image Similarity Search in PyTorch
Simple Convolutional Auto-encoder based image similarity search to find similar images to given image or features. Fully written in PyTorch.
image-similarity-search pytorch autoencoders computer-vision
Discovering Symbolic Models from Deep Learning w/ Inductive Bias
A general approach to distill symbolic representations of a learned deep model by introducing strong inductive biases.
symbolic-models inductive-bias graph-neural-networks graphs
A Barebones Image Retrieval System
This project presents a simple framework to retrieve images similar to a query image.
computer-vision few-shot-learning representation-learning tensorflow
A Few Favorite Recipes in Computer Vision & Deep Learning
This blog post enlists a few of my favorite recipes in deep learning in the context of computer vision (as of August 2020).
self-supervised-learning simclr contrastive-learning representation-learning
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