6994 Open source projects that are alternatives of or similar to Spectralnormalizationkeras

The implementation of Relativistic average GAN with Keras

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

A stable algorithm for GAN training

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DCGAN image generator 🖼️.

PyTorch Implementation of DCGAN trained on the CelebA dataset.

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

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

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

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

Periodic Spatial Generative Adversarial Networks

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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..

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Awesome GAN for Medical Imaging

Discovering Interpretable GAN Controls [NeurIPS 2020]

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Semantic Image Inpainting

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

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

On the "steerability" of generative adversarial networks

[CVPR2020] Adversarial Latent Autoencoders

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

Solve captcha without manually labeling a training set

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

SpecGAN - generate audio with adversarial training

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

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

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

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Projecting images to latent space with StyleGAN2.

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

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

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

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

PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"

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

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

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

keras를 이용한 딥러닝 기초 학습

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

Novel molecules from a reference shape!

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Generative Adversarial Networks in Keras

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Protein function prediction using a variational autoencoder

Code for polyaxon tutorials and examples

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

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

This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.

An implementation of CycleGan using TensorFlow

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Neural Paiters

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

PyTorch implementation of Adversarially Learned Inference (BiGAN).

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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Python tutorials as Jupyter Notebooks for NLP, ML, AI