516 Open source projects that are alternatives of or similar to Mnist_inception_score

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

Conditional GAN for Anime face generation.

TriangleGAN, ACM MM 2019.

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

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

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

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

Tensorflow-based framework to ease training of generative models

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Stacked Generative Adversarial Networks

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

Generative Adversarial Networks in PyTorch

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

Improving MMD-GAN training with repulsive loss function

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

Anime Generation

Spectral Normalization for Keras Dense and Convolution Layers

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

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

Semantic Image Inpainting

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

A stable algorithm for GAN training

Pytorch implementation of CycleGAN.

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

[CVPR2020] Adversarial Latent Autoencoders

My pytorch implementation for GAN

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..

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

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

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

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

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

Generating Videos with Scene Dynamics. NIPS 2016.

A curated list of awesome projects which use Machine Learning to generate synthetic content.

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

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

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

Generative Adversarial Networks (GANs) resources sorted by citations

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

Speech Enhancement Generative Adversarial Network in TensorFlow

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

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

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

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

T2F: text to face generation using Deep Learning

InstaGAN: Instance-aware Image Translation (ICLR 2019)

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

in progress

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

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

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

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

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

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

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.

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Tutorial on creating your own GAN in Tensorflow