A collection of 100 Deep Learning images and visualizations

Overview

Deep Learning visuals

A collection of Deep Learning images and visualizations. The project has been developed by the AI Summer team and currently contains almost 100 images.

This repository was inspired by:

The images have been created using https://www.diagrams.net/ over the past years.

Contents

Can I use them?

Of course. You are allowed to use the images anywhere you like ( even for commercial use), as long as you attribute AI Summer.

Examples

Vision Transformer

Inception block

Layer normalization

Graph convolution

Owner
AI Summer
Learn Deep Learning and Artificial Intelligence. Discord server: https://discord.gg/k6NXwe7PXh
AI Summer
using yolox+deepsort for object-tracker

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245 Dec 26, 2022
PyTea: PyTorch Tensor shape error analyzer

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BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

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This repository provides the code for MedViLL(Medical Vision Language Learner).

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Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21'

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This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

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Lab Materials for MIT 6.S191: Introduction to Deep Learning

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Replication Code for "Self-Supervised Bug Detection and Repair" NeurIPS 2021

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Jaxtorch (a jax nn library)

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Binary Stochastic Neurons in PyTorch

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Deep ViT Features as Dense Visual Descriptors

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Towards Interpretable Deep Metric Learning with Structural Matching

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