370 Open source projects that are alternatives of or similar to Delving Deep Into Gans

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

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Implementation of Papers on Adversarial Examples

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

Speech Enhancement Generative Adversarial Network in TensorFlow

Guided Conditional Wasserstein GAN for De Novo Protein Design

Pytorch implementation of Generated Image Quality Assessment

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

Network-to-Network Translation with Conditional Invertible Neural Networks

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Generative Adversarial Transformers

Collection of generative models in Tensorflow

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

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

DGMs for NLP. A roadmap.

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics

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

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Periodic Spatial Generative Adversarial Networks

Pytorch implementation of pix2pix for various datasets.

Generator loss to reduce mode-collapse and to improve the generated samples quality.

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

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

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TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Pytorch implementation of MixNMatch

📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

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

A visual overview of useful skills to learn as a web developer

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

Synthetic Data Generation for tabular, relational and time series data.

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

in progress

📦📝 uFeatures guidelines

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

📌 Your beginner pen-testing start guide. A guide for amateur pen testers and a collection of hacking tools, resources and references to practice ethical hacking and web security.

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

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

DEPRECATED: Depth Map Estimation from Monocular Images

Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN

CVPR 2019: "Pluralistic Image Completion"