509 Open source projects that are alternatives of or similar to pytorch-dann

Domain adaptation networks for digit recognitioning

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

Unofficial pytorch implementation of algorithms for domain adaptation

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Tensorflow-based framework to ease training of generative models

Code for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

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

My pytorch implementation for GAN

Two-stage GANs that generate fingerstyle guitarist images from audio.

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

No description or website provided.

Adapt Transformer-based language models to new text domains

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

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

Designed to take you from zero experience to GANs within a week.

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

🐳 GAN implemented as Tensorflow 2.X

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

Pure tensorflow implementation of progressive growing of GANs

Benchmarking synthetic data generation methods.

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

my own deep learning mastery roadmap

Tensorflow Implementation of DiscoGAN

🤖A list of resources to help anyone getting started with GANs 🤖

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

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

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

CycleGAN based neural network architecture to change the gender of a person’s face

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20

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

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

This repository contains a new adversarial training method for Generative Conversational Agents

Path Planning using Generative Adversarial Network (GAN)

1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

Synthetic Data Generation for mixed-type, multivariate time series.

Tensorflow implementation of paper "unsupervised image to image translation networks"

Official Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"

StyleGAN Encoder - converts real images to latent space

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

3D-aware GANs based on NeRF (arXiv).

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.