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Anime4K is a set of open-source, high-quality real-time anime upscaling/denoising algorithms that can be implemented in any programming language.

>If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?"

deep learning for image processing including classification and object-detection etc.

3 快速搭建你的第一个系统，并进行迭代(Build your first system quickly, then iterate)

A collection of various deep learning architectures, models, and tips

Ultralytics YOLOv3 is a PyTorch implementation of the YOLOv3 (You Only Look Once, version 3) real-time object detection model.

Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

A docker image containing the code and the dependencies is available on DockerHub. 03):

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

Public facing notes page

Techniques for deep learning with satellite & aerial imagery

js is a GPU accelerated library for Neural Networks written in JavaScript.

A technical report on convolution arithmetic in the context of deep learning

Our implementation is based off of a combination of Gatys' A Neural Algorithm of Artistic Style, Johnson's Perceptual Losses for Real-Time Style Transfer and Super-Resolution, and Ulyanov's Instance Normalization.

On some tasks, decent results can be obtained fairly quickly and on small datasets. For example, to learn to generate facades (example shown above), we trained on just 400 images for about 2 hours (on a single Pascal Titan X GPU).

Solution of Team sdkxd for MICCAI 2023 Challenges: STS - Tooth Segmentation Task Based on 3D CBCT