398 Open source projects that are alternatives of or similar to Gaal Based Outlier Detection

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

The implementation of Relativistic average GAN with Keras

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

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

Give a portrait face, move the gaze up

C++ Implementation of PyTorch Tutorials for Everyone

Disentangled Makeup Transfer with Generative Adversarial Network

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Privacy-preserving generative deep neural networks support clinical data sharing

based on https://github.com/kwj2104/CPPN-WGAN, but on chineses fonts and improved architecture

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

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

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

A large-scale face dataset for face parsing, recognition, generation and editing.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

Pix2Pix Image translation using conditional generative adversarial network - sketch to face

PyTorch implementation of Adversarially Learned Inference (BiGAN).

An AI for Music Generation

Voice Conversion using Cycle GAN's For Non-Parallel Data

Composable GAN framework with api and user interface

Reconstruction of three-dimensional porous media using generative adversarial neural networks

An implementation of CycleGan using TensorFlow

Toward Multimodal Image-to-Image Translation

Generative Adversarial Networks in Keras

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

Bringing Old Photo Back to Life (CVPR 2020 oral)

SpecGAN - generate audio with adversarial training

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

Compute FID scores with PyTorch.

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Conversational AI Reading Materials

Conditional GAN for Anime face generation.

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

videos, lectures, blogs for Deep Learning

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

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

Reproduction code for WGAN-LP

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

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

Image-to-image translation with conditional adversarial nets

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

Spectral Normalization for Keras Dense and Convolution Layers

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano