668 Open source projects that are alternatives of or similar to Attentive Gan Derainnet

Chainer implementation of Wasserstein GAN

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Image Deblurring using Generative Adversarial Networks

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EQTransformer, a python package for earthquake signal detection and phase picking using AI.

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

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

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Attention mechanism for processing sequential data that considers the context for each timestamp.

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Source code of paper: (not available now)

Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)

VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

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implement infoGAN using pytorch

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TensorFlow GAN implementation using Gumbel Softmax

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

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

Re-implement CycleGAN in Tensorlayer

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

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

A collection of important graph embedding, classification and representation learning papers with implementations.

Raw implementation of attention gated U-Net by Keras

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

Unsupervised anomaly detection with generative model, keras implementation

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

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

End-to-end ASR/LM implementation with PyTorch

A MNIST-like fashion product database. Benchmark 👇

Solve captcha without manually labeling a training set

A pure PHP library for reading and writing project management files

Interactive Image Generation via Generative Adversarial Networks

A Tensorfflow implementation of Attend, Infer, Repeat

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

A timeline showing the development of Generative Adversarial Networks (GAN).

Unity Post Processing with Convolution Neural Network

StyleGAN 2 in Tensorflow 2.0

Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

generative adversarial nets for neural machine translation

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

Source code of AAAI 2020 paper 'Learning to Incorporate Structure Knowledge for Image Inpainting'

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

StoryGAN: A Sequential Conditional GAN for Story Visualization

Material for the tutorial: "Deep Diving into GANs: from theory to production"

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

Use supervised learning to illuminate the latent space of GAN for controlled generation and edit