1057 Open source projects that are alternatives of or similar to Srgan Tensorflow

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

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

A modern PyTorch implementation of SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

This toolbox is support material for the book on CNN (http://www.convolution.network).

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

A High-Quality Real Time Upscaler for Anime Video

Deep learning codes and projects using Python

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

Official repository of JSI-GAN (Accepted at AAAI 2020).

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Awesome GAN for Medical Imaging

OpenMMLab Image and Video Editing Toolbox

A DCGAN to generate anime faces using custom mined dataset

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Data repository for pretrained NLP models and NLP corpora.

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Generating Videos with Scene Dynamics. NIPS 2016.

Exercise notebooks for CVND.

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Implementation of papers for text classification task on DBpedia

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.

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

A deep neural network based self-driving car, that combines Lego Mindstorms NXT with the computational power of a Raspberry Pi 3.

Detect and recognize the faces from camera / 调用摄像头进行人脸识别，支持多张人脸同时识别

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

🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

Synthesizing and manipulating 2048x1024 images with conditional GANs

Awesome Generative Adversarial Networks with tensorflow

Code for Tensorflow Machine Learning Cookbook

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Keras implementation of yolo v3 object detection.

PyTorch and Tensorflow functional model definitions

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

TensorFlow and Deep Learning Tutorials

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

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

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Visualization toolkit for neural networks in PyTorch! Demo -->

A clean and readable Pytorch implementation of CycleGAN

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

A deep neural network that learns to drive in video games

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