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Name: Ruini94
Type: User
Name: Ruini94
Type: User
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
A collection of awesome text-to-image generation studies.
Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
unofficial inplementation of paper Underexposed Photo Enhancement using Deep Illumination Estimation(2019 CVPR)
An unrestricted attack based on diffusion models that can achieve both good transferability and imperceptibility.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Unofficial PyTorch implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017 https://groups.csail.mit.edu/graphics/hdrnet/
Half Wavelet Attention on M-Net+ for Low-light Image Enhancement
first commit
(Pytorch)Implementation of LAPGAN. (Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks)
Unofficial PyTorch Code for “MBLLEN: Low-light Image/Video Enhancement Using CNNs”, BMVC 2018.
first commit
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, WideResNet)
Pytorch implementation of convolutional neural network visualization techniques
PyTorch implementations of Generative Adversarial Networks.
Count the MACs / FLOPs of your PyTorch model.
The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"
A PyTorch implementation of Restormer based on CVPR 2022 paper "Restormer: Efficient Transformer for High-Resolution Image Restoration"
The project is the official test implementation of "An End-to-End Retinex-based Illumination Attention Low-light Enhancement Network for Autonomous Driving at Night"
CNN Architectures(with and without SPP Layer) for Image Classification task
Superpixel segmentation using SLIC with Python.
Implement of paper: SurroundNet: Towards Effective Low-Light ImageEnhancemen
Synchronized Batch Normalization implementation in PyTorch.
Useful information about PyTorch modules (FLOPs, MACs, receptive field, etc.)
Implementation of Uformer, Attention-based Unet, in Pytorch
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.