ncnn is a high-performance neural network inference framework optimized for the mobile platform
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)
Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)
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.
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
Repository containing an independent implementation of the paper: "A Fully Progressive Approach to Single-Image Super-Resolution"
TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
