6485 Open source projects that are alternatives of or similar to Csa Inpainting

由淺入深的深度學習資源 Collection of deep learning materials for everyone

🔍 Attentional interfaces in TensorFlow.

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

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

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Solve captcha without manually labeling a training set

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

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

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

A stable algorithm for GAN training

Tutorial on GANs

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

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

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

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

The implementation of Relativistic average GAN with Keras

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

Privacy-preserving generative deep neural networks support clinical data sharing

Reconstruction of three-dimensional porous media using generative adversarial neural networks

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

Chinese Poetry Generation

DCGAN image generator 🖼️.

Applied Deep Learning (2019 Spring) @ NTU

Auxiliary Classifier Generative Adversarial Networks in Keras

On the "steerability" of generative adversarial networks

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..

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Action recognition using soft attention based deep recurrent neural networks

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

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.

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

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

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

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

Tutorial on creating your own GAN in Tensorflow

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

TensorFlow Implementation of "Show, Attend and Tell"

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

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

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

Spectral Normalization for Keras Dense and Convolution Layers

Voice Conversion using Cycle GAN's For Non-Parallel Data

Code for "A-NICE-MC: Adversarial Training for MCMC"

Projecting images to latent space with StyleGAN2.

从零开始学习YOLOv3教程解读代码+注意力模块(SE,SPP,RFB etc)

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Important paper implementations for Question Answering using PyTorch

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge

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

Deep learning codes and projects using Python

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

Decentralized Machine Learning Client

Apache Spark (PySpark) Practice on Real Data

책) 파이썬으로 데이터 주무르기 - 소스코드 및 데이터 공개

Multi-Graph Convolutional Neural Networks