205 Open source projects that are alternatives of or similar to Keras Srgan

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Pytorch implementation of Generated Image Quality Assessment

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

Implementation of Very Deep Convolutional Neural Network for Text Classification

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model"

Generic U-Net Tensorflow 2 implementation for semantic segmentation

📚 Text classification library with Keras

Some State-of-the-Art few shot learning algorithms in tensorflow 2

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

Generating Captions for images using Deep Learning

A Tutorial for Serving Tensorflow Models using Kubernetes

Distributed Keras Engine, Make Keras faster with only one line of code.

Research Framework for easy and efficient training of GANs based on Pytorch

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

C3AE implement

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

rstudio::conf(2020) deep learning workshop

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

C3D for Keras + TensorFlow

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

lock mechanism with face recognition and liveness detection

Deep Learning in Haskell

This is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

An implementation of DiscoGAN in tensorflow

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

SteganoGAN is a tool for creating steganographic images using adversarial training.

Pytorch implementation of pix2pix for various datasets.

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

A simple self driving car in GTAV that uses the Xception deep neural network model with DeepGTAV

Learning Chinese Character style with conditional GAN

Sign Language Recognition for Deaf People

Periodic Spatial Generative Adversarial Networks

A collection of Audio and Speech pre-trained models.

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Keras implementations of Generative Adversarial Networks.

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Project Page of 'Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks'

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

DGMs for NLP. A roadmap.

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

Deep neural network to extract intelligent information from invoice documents.

Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples