jing--li Goto Github PK
Name: Jing Li
Type: User
Bio: ML & CV.
Name: Jing Li
Type: User
Bio: ML & CV.
source code for Divergence-agnostic Unsupervised Domain Adaptation by Adversarial Attacks in TPAMI
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.
Federated Learning Library: https://fedml.ai
Reading list for research topics in multimodal machine learning
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
code implementation for paper "Bilinear CNN Models for Fine-grained Visual Recognition"
This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).
Lecture notes on Bayesian deep learning
original code for paper "Bilinear CNN Models for Fine-grained Visual Recognition"
book
implementation of CVPR2022 paper "Category Contrast for Unsupervised Domain Adaptation in Visual Tasks"
Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
The re-implement of NIPS 2018 paper: Conditional Adversarial Domain Adaptation
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
PyTorch implementation of MGRB (TKDE2022)
Inferring and Executing Programs for Visual Reasoning
pytorch implementation for Contrastive Adaptation Network
A dataset for Continual Open Set Domain Adaptation
Counterfactual Image Generation
吴恩达老师的机器学习课程个人笔记
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
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.
[TPAMI2022] Class Specific Semantic Reconstruction for Open Set Recognition
cvpr 2016 project(Is this the code for SINN?)
repository for Universal Domain Adaptation through Self-supervision
A curated list of data science blogs
My Practice Handbook For DataScience
http://DataScienceSpecialization.github.io
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.