zhangqi19880501 Goto Github PK

2022-jmlr-tell

ae2-nets

code of AE^2-Nets （Autoencoder in Autoencoder Networks）

cail2021

cbig

clash-for-windows_chinese

clash for windows汉化版. 提供clash for windows的汉化版, 汉化补丁及汉化版安装程序

cmc

[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

cmmd

code-deep-multiview-information-bottleneck

Source code for paper Deep Multi-view Information Bottleneck

contrastive_loss

Experiments with supervised contrastive learning methods with different loss functions

correlatedembeddings

decmeg

2nd place submission to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain

deepimv

A Variational Information Bottleneck Approach to Multi-Omics Data Integration

dhsic_ts

Higher order interactions python package

dib

Codes for 'Deep Deterministic Information Bottleneck with Matrix-based entropy functional' in ICASSP 2021

disentangled-information-bottleneck

drop-bottleneck

esc-50

ESC-50: Dataset for Environmental Sound Classification

free-spoken-digit-dataset

A free audio dataset of spoken digits. Think MNIST for audio.

frites

Framework for Information Theoretical analysis of Electrophysiological data and Statistics

github-chinese-top-charts

:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。

gumbel-softmax

categorical variational autoencoder using the Gumbel-Softmax estimator

hexo-theme-volantis

A Wonderful Theme for Hexo.

isic2019

A repository for our explorations on the ISIC 2019 imaging dataset.

jmmlrc

Code for Joint Multi-Modal Longitudinal Regression and Classification

lassonet

Feature selection in neural networks

mfas

Implementation of CVPR 2019 paper "Mfas: Multimodal fusion architecture search"

mini_decodable_information_bottleneck

Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.

multi_view-learning-summarize

I am doing some research about multi-view learning and I want to make a summarize about my work.

multimodaltoy

Multimodal toy problem with half and half MNIST dataset.

multiview_and_self-supervision

multiview and self-supervised learning