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
A python script to lookup Passport Index Dataset

visa-cli A python script to lookup Passport Index Dataset Installation pip install visa-cli Usage usage: visa-cli [-h] [-d DESTINATION_COUNTRY] [-f]

rand-net 16 Oct 18, 2022
MEDS: Enhancing Memory Error Detection for Large-Scale Applications

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Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021) An efficient PyTorch library for Point Cloud Completion.

Microsoft 119 Jan 02, 2023
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

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IEGAN — Official PyTorch Implementation Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation

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The Official Implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose [NIPS 2021].

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Angtian Wang 20 Oct 09, 2022
Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

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Alan Grijalva 49 Dec 20, 2022
[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)

Are Transformers More Robust Than CNNs? Pytorch implementation for NeurIPS 2021 Paper: Are Transformers More Robust Than CNNs? Our implementation is b

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Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection

An official implementation of paper Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection

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robomimic: A Modular Framework for Robot Learning from Demonstration

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Efficient 6-DoF Grasp Generation in Cluttered Scenes

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Taming Transformers for High-Resolution Image Synthesis

Taming Transformers for High-Resolution Image Synthesis CVPR 2021 (Oral) Taming Transformers for High-Resolution Image Synthesis Patrick Esser*, Robin

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Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

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Motion planning environment for Sampling-based Planners

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Official code base for the poster "On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation" published in NeurIPS 2021 Workshop (SVRHM)

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ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data

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Machine Learning Platform for Kubernetes

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SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches

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215 Dec 25, 2022