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Repo for counting stars and contributing. Press F to pay respect to glorious developers.
AdaDM: Enabling Normalization for Image Super-Resolution
Solving Statistical Optimization Problems Using the ADMM Algorithm
Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371
Curating a list of AutoML-related research, tools, projects and other resources
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.
Caffe models in TensorFlow
A Capsule Implement with Pure Keras
One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。
The Contextual Loss
C++ Primer 5 answers
PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
Visual Attribute Transfer through Deep Image Analogy in PyTorch!
Image restoration with neural networks but without learning.
《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
Deep learning way for blind image quality assessment
NR and FR IQA models based on Deep Convolutional Neural Networks
A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.
This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional 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.