977 Open source projects that are alternatives of or similar to Jsi Gan

💃 Real-time single person pose estimation for Android and iOS.

TensorFlow Implementation of state-of-the-art models since 2012

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

White Blood Cell Image Segmentation Using Deep Convolution Neural Networks

CNN visualization tool in TensorFlow

Text classifier for Hierarchical Attention Networks for Document Classification

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

This repository is for my article "Tutorial: Build a lane detector" published on Medium.

FaceRank - Rank Face by CNN Model based on TensorFlow (add keras version). FaceRank-人脸打分基于 TensorFlow (新增 Keras 版本) 的 CNN 模型（QQ群：167122861）。技术支持：http://tensorflow123.com

TensorFlow and Deep Learning Tutorials

The codes of VAE-GAN model for 3d shape reconstruction from depth data

Can Neural Networks Crack Sudoku?

Training a MNIST classifier, and use it to compute inception score (ICP)

Next RecSys Library

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

Deep Learning for Time Series Classification

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Header-only library for using Keras models in C++.

The implementation of Relativistic average GAN with Keras

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Java Convolutional Neural Network example for Hand Writing Digit Recognition

Head pose estimation by TensorFlow and OpenCV

Tensorflow implementation for Paper "Learning Residual Images for Face Attribute Manipulation"

船长关于机器学习、计算机视觉和工程技术的总结和分享

A Pytorch implemented Deep SR-ITM (ICCV2019)

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network

Exploratory Project on Fast Screen Space Global Illumination

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

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

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

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

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

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Fine-tune pretrained Convolutional Neural Networks with PyTorch

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Implementation of 'Image Super-Resolution using Deep Convolutional Network'

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

A Real-time Mario Kart AI using CNNs, Offline Search, and DAGGER

A photo OCR project aims to output DMS messages contained in sign structure images.

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

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Deep learning for price movement prediction using high frequency limit order data

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

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

deeplearning.ai , By Andrew Ng, All video link

Real time emotion recognition

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.

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Conversational AI Reading Materials

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Build an OCR for iOS apps

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)