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adaptive-style-transfer

source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer

adaptive_affinity_fields

Adaptive Affinity Fields for Semantic Segmentation

adaptsegnet

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

advsemiseg

Pytorch implementation of the paper "Adversarial Learning for Semi-supervised Semantic Segmentation," Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, and Ming-Hsuan Yang

arga

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

cafferemotesensing

cam

Class Activation Mapping

cbst

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18.

colossalai

Making large AI models cheaper, faster and more accessible

columnlegend

Creates a legend with a specified number of columns

cvpr2019

cvpr2019 papers

danet

Dual Attention Network for Scene Segmentation

dirt-t

A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)

domain-adaptation-on-segmentation

drit

Learning diverse image-to-image translation from unpaired data

facial-similarity-with-siamese-networks-in-pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fastphotostyle

Style transfer, deep learning, feature transform

gnnpapers

Must-read papers on graph neural networks (GNN)

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

lsd-seg

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mcd_da

midjourney-styles-and-keywords-reference

A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

minimal-entropy-correlation-alignment

Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018

models

Models and examples built with TensorFlow

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks.