jing--li Goto Github PK

aaa

source code for Divergence-agnostic Unsupervised Domain Adaptation by Adversarial Attacks in TPAMI

alipy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

awesome-federated-learning

Federated Learning Library: https://fedml.ai

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome_opensetrecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

b-cnn

code implementation for paper "Bilinear CNN Models for Fine-grained Visual Recognition"

baidutraffic

This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).

bayes-nn

Lecture notes on Bayesian deep learning

bcnn

original code for paper "Bilinear CNN Models for Fine-grained Visual Recognition"

book

book

caco

implementation of CVPR2022 paper "Category Contrast for Unsupervised Domain Adaptation in Visual Tasks"

calibrated-multiple-uncertainties

Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)

cdan

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

cdan-re-implement

The re-implement of NIPS 2018 paper: Conditional Adversarial Domain Adaptation

cdtrans

CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

cil-mgrb

PyTorch implementation of MGRB (TKDE2022)

clevr-iep

Inferring and Executing Programs for Visual Reasoning

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

pytorch implementation for Contrastive Adaptation Network

contrastive_open_world

cosda-hr

A dataset for Continual Open Set Domain Adaptation

counterfactual-open-set

Counterfactual Image Generation

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

cssr

[TPAMI2022] Class Specific Semantic Reconstruction for Open Set Recognition

cvpr16

cvpr 2016 project（Is this the code for SINN?）

dance

repository for Universal Domain Adaptation through Self-supervision

data-science-blogs

A curated list of data science blogs

datascience-practice-handbook

My Practice Handbook For DataScience

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io