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0713

Analysis code for submission 0713

1maxcnn

1-max pooling CNN for robust audio event recognition

2016_super_resolution

ICCV2015 Image Super-Resolution Using Deep Convolutional Networks

2d-motion-retargeting

PyTorch implementation for our paper Learning Character-Agnostic Motion for Motion Retargeting in 2D, SIGGRAPH 2019

active-learning

Official Matlab demo for AIFT - CVPR 2017 & Medical Image Analysis

ad-rapid-progression-prediction

adapt

Awesome Domain Adaptation Python Toolbox

audio-event-features

This features set was implemented in my following works:

audio-super-res

Audio super resolution using neural networks

autodeploy

bci-challenge-ner-2015

Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

bnlstm

Batch normalized LSTM for tensorflow

books

我读过的书。嘿嘿，分享给你。

bss-vit

This repository includes the code and result reported for the article titled Investigating Vision Transformer with Blind Source Separation Preprocessing for EMG-based Gesture Classification.

cda

Contractive Discriminant Analysis implementation

cdem

cimeautologin

a simple code to make sure your lab computer online

cleanlab

The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and models.

cleanlab-1

学习cleanlab的源码实现

cnn-rnn-lte

codeforxian

contractive_autoencoder_in_pytorch

Pytorch implementation of contractive autoencoder on MNIST dataset

contrastive-adaptation-network-for-unsupervised-domain-adaptation

pytorch implementation for Contrastive Adaptation Network

dann

pytorch implementation of Domain-Adversarial Training of Neural Networks

dann_py3

python 3 pytorch implementation of DANN

dapca

This repository contains code of DAPCA function, description of DAPCA algorithm and some data to test

dare-gram

[CVPR 2023] Code for our paper DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inversed Gram Matrices

dassl.pytorch

A PyTorch toolbox for domain adaptation and semi-supervised learning.

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcnn_mu_decomp