398 Open source projects that are alternatives of or similar to Tf Sndcgan

Conversational AI Reading Materials

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

cRNN-GAN to generate music by training on instrumental music (midi)

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

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

Awesome GAN for Medical Imaging

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

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

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

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

Reproduction code for WGAN-LP

Two-stage GANs that generate fingerstyle guitarist images from audio.

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

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

Unofficial pytorch implementation of algorithms for domain adaptation

Generative adversarial training for generating synthetic tabular data.

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

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

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

An AI for Music Generation

CycleGAN based neural network architecture to change the gender of a person’s face

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Designed to take you from zero experience to GANs within a week.

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Synthetic Data Generation for mixed-type, multivariate time series.

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

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 is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

Tensorflow Implementation of DiscoGAN

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Masking GAN - Image attribute mask generation

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

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

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Generating Videos with Scene Dynamics. NIPS 2016.

Path Planning using Generative Adversarial Network (GAN)

in progress

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

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

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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

Everything about Generative Adversarial Networks

Stacked Generative Adversarial Networks

Image-to-Image Translation in PyTorch

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

A stable algorithm for GAN training

Anime Generation

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Generate text boxes from input words with a GAN.