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Matlab code for algorithms in PRML book
A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
This is an official implementation of "Polarized Self-Attention: Towards High-quality Pixel-wise Regression"
This is an unofficial implementation of BOAT: Bilateral Local Attention Vision Transformer
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
Dual Path Networks (DPN) supporting pretrained weights converted from original MXNet implementation
Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.
i-RevNet Pytorch Code
Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-
PyTorch Tutorial for Deep Learning Researchers
Source Codes of the paper " Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning"
Repository for Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms
Collection of popular and reproducible image denoising works.
[CVPR 2022] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"
Deep Networks with Recurrent Layer Aggregation
PyTorch implementation of NeurIPS 2021 paper "Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis"
Official implementation of the NeurIPS'2020 paper 'Self-Adaptive Training: beyond Empirical Risk Minimization'
Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)
(ECCV 2020) Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
A collection of high-impact and state-of-the-art SR methods
SOFT: Softmax-free Transformer with Linear Complexity, NeurIPS 2021 Spotlight
A Tensorflow Implementation of Spatial Transformer Networks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.