308 Open source projects that are alternatives of or similar to Dncnn

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

All image quality metrics you need in one package.

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

增值税发票OCR识别，使用flask微服务架构，识别type：增值税电子普通发票，增值税普通发票，增值税专用发票；识别字段为：发票代码、发票号码、开票日期、校验码、税后金额等

Introduction to Deep Neural Networks with Keras and Tensorflow

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

VDSR (CVPR2016) pytorch implementation

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020)

A Python implementation of RAISR

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

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.

Real-World Super-Resolution via Kernel Estimation and Noise Injection

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。

A Pytorch implemented Deep SR-ITM (ICCV2019)

A modern PyTorch implementation of SRGAN

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

A Caffe-based implementation of very deep convolution network for image super-resolution

PyTorch to Keras model convertor

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

A Thai word tokenization library using Deep Neural Network

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

Benchmark and resources for single super-resolution algorithms

TOFlow: Video Enhancement with Task-Oriented Flow

Music recommender using deep learning with Keras and TensorFlow

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

Scale-wise Convolution for Image Restoration

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020

Introducing neural networks to predict stock prices

Keras implementation of a ResNet-CAM model

Real-time video quality improvement for applications such as video-chat using Perceptual Losses

Примеры для курса "Программирование глубоких нейронных сетей на Python"

sliced-rnn

A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

Trainable models and NN optimization tools

Pruning and other network surgery for trained TF.Keras models.

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Image Super-Resolution for Anime-Style Art