Hi, my dear friend, I am committed to promoting the development of GAN.
lornatang Goto Github PK
Name: Lorna
Type: User
Company: Leica Camera AG
Bio: I like to use AI to do whatever I want
Twitter: goodfellow_liu
Location: Shenzhen,China
Name: Lorna
Type: User
Company: Leica Camera AG
Bio: I like to use AI to do whatever I want
Twitter: goodfellow_liu
Location: Shenzhen,China
PyTorch implements "Image Super-Resolution via Deep Recursive Residual Network"
PyTorch implements `Frequency Separation for Real-World Super-Resolution` paper.
PyTorch implements "Enhanced Deep Residual Networks for Single Image Super-Resolution"
A PyTorch implementation of EfficientNet
PyTorch implements `EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks` paper.
PyTorch implements `EfficientNetV2: Smaller Models and Faster Training` paper.
PyTorch implements `Efficient Neural Architecture Search via Parameters Sharing` paper.
A PyTorch implementation of ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.
A simple implementation of esrgan, which uses the pytorch framework.
Generate additional data through GAN.
Open source framework on fork, easy to implement
PyTorch implements `Focusing Attention: Towards Accurate Text Recognition in Natural Images` paper.
This repository contains a pytorch implementation of an algorithm for fast neural style
Fast implementation of fsrcnn algorithm based on pytorch framework
A complete implementation of the Pytorch neural network framework for GAN
Restore the official code 100% and improve it to make it easier to use.
PyTorch implements `Gated Recurrent Convolution Neural Network for OCR` paper.
Code summary during C/C++ learning at school
PyTorch implements `Fast and Accurate Single Image Super-Resolution via Information Distillation Network` paper.
PyTorch implements `Rethinking the Inception Architecture for Computer Vision` paper.
PyTorch implements `Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning` paper.
The Java code for the second semester of the junior year can be found here (I have not been exposed to Java for more than two years, which is required by my studies).
Keras implementation of Deep Convolutional Generative Adversarial Networks
PyTorch implements `Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution` paper.
Learn OpenCV 4 by Building Projects
Train with PyTorch and use TensorRT for inference
PyTorch implements `Learning Continuous Image Representation with Local Implicit Image Function` paper.
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.