🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

Last update: Dec 25, 2022

Overview

Deep CORAL

A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation. B Sun, K Saenko, ECCV 2016'

Deep CORAL can learn a nonlinear transformation that aligns correlations of layer activations in deep neural networks (Deep CORAL).

中文介紹

My implementation result (Task Amazon -> Webcam):

Requirement

Python 3
PyTorch 0.2

Usage

Unzip dataset in dataset/office31.tar.gz
Run python3 main.py

Owner

Andy Hsu

There is always more than one solution.

GitHub Repository https://ssarcandy.tw/2017/10/31/deep-coral/

An OpenAI Gym environment for Super Mario Bros

gym-super-mario-bros An OpenAI Gym environment for Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The Nintendo Entertainment System (NES) us

1 Jan 05, 2022

Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5)

YOLOv5-GUI 🎉 YOLOv5算法(ver.6及ver.5)的Qt-GUI实现 🎉 Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5). 基于YOLOv5的v5版本和v6版本及Javacr大佬的UI逻辑进行编写

12 Dec 28, 2022

This is the pytorch re-implementation of the IterNorm

IterNorm-pytorch Pytorch reimplementation of the IterNorm methods, which is described in the following paper: Iterative Normalization: Beyond Standard

32 Dec 27, 2022

Framework for Spectral Clustering on the Sparse Coefficients of Learned Dictionaries

Dictionary Learning for Clustering on Hyperspectral Images Overview Framework for Spectral Clustering on the Sparse Coefficients of Learned Dictionari

6 Oct 25, 2022

Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data.

Deep Learning Dataset Maker Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data. How to use Down

25 Dec 15, 2022

Automated image registration. Registrationimation was too much of a mouthful.

alignimation Automated image registration. Registrationimation was too much of a mouthful. This repo contains the code used for my blog post Alignimat

9 Oct 13, 2022

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods

ADGC: Awesome Deep Graph Clustering ADGC is a collection of state-of-the-art (SOTA), novel deep graph clustering methods (papers, codes and datasets).

297 Dec 27, 2022

Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs This repository is the implementation of SELAR. Dasol Hwang* , Jinyoung Pa

48 Nov 09, 2022

Pytorch Lightning Distributed Accelerators using Ray

Distributed PyTorch Lightning Training on Ray This library adds new PyTorch Lightning accelerators for distributed training using the Ray distributed

166 Dec 27, 2022

GNN-based Recommendation Benchmark

GRecX A Fair Benchmark for GNN-based Recommendation Homepage and Documentation Homepage: Documentation: Paper: GRecX: An Efficient and Unified Benchma

73 Oct 17, 2022

PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)

Completer: Incomplete Multi-view Clustering via Contrastive Prediction This repo contains the code and data of the following paper accepted by CVPR 20

72 Dec 07, 2022

This project deploys a yolo fastest model in the form of tflite on raspberry 3b+. The model is from another repository of mine called -Trash-Classification-Car

Deploy-yolo-fastest-tflite-on-raspberry 觉得有用的话可以顺手点个star嗷这个项目将垃圾分类小车中的tflite模型移植到了树莓派3b+上面。该项目主要是为了记录在树莓派部署yolo fastest tflite的流程 (之后有时间会尝试用C++部署来提升

7 Aug 16, 2022

🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

Related tags

Overview

Deep CORAL

Requirement

Usage

Owner

Andy Hsu

An OpenAI Gym environment for Super Mario Bros

Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5)

This is the pytorch re-implementation of the IterNorm

Framework for Spectral Clustering on the Sparse Coefficients of Learned Dictionaries

Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data.

Automated image registration. Registrationimation was too much of a mouthful.

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods

Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.

Pytorch Lightning Distributed Accelerators using Ray

GNN-based Recommendation Benchmark

PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)

This project deploys a yolo fastest model in the form of tflite on raspberry 3b+. The model is from another repository of mine called -Trash-Classification-Car

My solution for the 7th place / 245 in the Umoja Hack 2022 challenge

PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

Official implementation of ETH-XGaze dataset baseline

PyTorch implementation of Trust Region Policy Optimization

Advances in Neural Information Processing Systems (NeurIPS), 2020.

Catch-all collection of generative art made using processing

Exploring Relational Context for Multi-Task Dense Prediction [ICCV 2021]