1366 Open source projects that are alternatives of or similar to Alae

A stable algorithm for GAN training

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

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Semantic Image Inpainting

Spectral Normalization for Keras Dense and Convolution Layers

Unofficial implementation of StyleGAN's generator

Focal Frequency Loss for Generative Models

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

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

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Generative Adversarial Networks and Autoencoders for 3D Shapes

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.

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

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

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Improving MMD-GAN training with repulsive loss function

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Study Friendly Implementation of DCGAN in Tensorflow

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Tensorflow-based framework to ease training of generative models

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

Pytorch implementation of CycleGAN.

Experimental repository attempting to project facial landmarks into the StyleGAN2 latent space.

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

DCGAN Implementation using PyTorch in both C++ and Python

My pytorch implementation for GAN

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

code for our CVPR 2020 paper "PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes"

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

Code for the paper "A Similarity Measure for Material Appearance" presented in SIGGRAPH 2019 and published in ACM Transactions on Graphics (TOG).

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

Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"

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

Photometric optimization code for creating the FLAME texture space and other applications

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Listing my favorite research papers 📝 from different fields as I read them.

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Face generator from sketches using cGAN (pix2pix) model

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Deep Convolutional Conditional GAN and Supervised CNN for generating children's faces given parents' faces

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Showcasing various fun adventures with GANs

GAN in Tensorflow to be run via Linux command line

TriangleGAN, ACM MM 2019.

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

Generate Cartoon Images using Generative Adversarial Network

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'