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A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Use face detect and math operations to find the kernel of blurred direction. This project can detect and crop face, deblurred and restoration photo automatically.
Pytorch implementation of Deep Recursive Residual Network for Super Resolution (DRRN), CVPR 2017
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
An implementation of the fast super-resolution convolutional neural network in TensorFlow
Hands-On Deep Learning with TensorFlow, published by Packt
Holistically-Nested Edge Detection
Implementation of Super Resolution CNN in Keras.
Monocular Visual Odometry - Filters for Edge Detection - Detection of characteristic points in the image ("Corners, Lines and Circumferences") - Intrinsic & Extrinsic Camera Calibration - Movement Estimation (Optic Flux) - ESTIMATION OF FUNDAMENTAL MATRIX ESSENTIAL MATRIX AND 3D RECONSTRUCTION - Motion estimation and 3D reconstruction using the Tomasi-Kanade Algorithm - Homography
Super Resolution for images using deep learning.
Algorithms for face super resolution implemented in Pytorch.
On the Variance of the Adaptive Learning Rate and Beyond
Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase
Repo to build on / reproduce the record breaking Ranger-Mish-SelfAttention setup on FastAI ImageWoof dataset 5 epochs
Richer Convolutional Features for Edge Detection model in pytorch CVPR2017
This Program is part of My Super-Resolution Project. It has implemented a Blind Deblurring Algorithm for Shift-Invariant-Deblurring
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Photo Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
Recognizing faces from low resolution images.
A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"
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.