Jindong Wang

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Curated collection of papers, tutorials, code, and datasets on transfer learning and domain adaptation, a research reference and starting point, not an installable tool.

A robustness evaluation framework for large language models on adversarial prompts

《迁移学习简明手册》LaTex源码

一些关于机器学习的学习资料与研究介绍

Resources about activity recognition-行为识别资料

Code for Transfer Learning book--《迁移学习导论》配套代码

A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)

An easy-to-follow Pytorch implementation of Hinton's Capsule Network

中国科学院大学（计算所）《概率方法与随机图》课程作业与教材

Making Espnet easier to use

全国122个城市历史空气质量爬取

Domain-Adversarial Neural Network in Tensorflow

Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

Python implementation MAML (model-agnostic meta learning)

信息检索检索器的Java实现

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

《统计学习方法》的代码实现

北航2013年计算机夏令营机试题，2 problems written in C language,2013

机器学习算法的公式推导以及numpy实现

Java实现图，邻接矩阵和邻接表两种方式

Visualize the activation map using Grad CAM

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注意力机制实践

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《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

Java和C#简单的数据库操作类，支持Sql Server和Sqlite及mysql

Python Implementation of Reinforcement Learning: An Introduction

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

A web app for ranking computer science departments according to their research output in selective venues.

Natural Language Processing Tutorial for Deep Learning Researchers

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A comprehensive list of awesome contrastive self-supervised learning papers.

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

🎆 A visualization of the CapsNet layers to better understand how it works

95.16% on CIFAR10 with PyTorch

LaTeX thesis template for The University of Chinese Academy of Sciences 中国科学院大学学位论文模板

PyTorch Tutorial for Deep Learning Researchers

syntax analytics

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Must-read papers on graph neural networks (GNN)

some academic posters as references. May we have in-person poster session soon!

Simple PyTorch Tutorials Zero to ALL!

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

A PyTorch implementation of CapsNet based on Geoffrey Hinton's paper "Dynamic Routing Between Capsules"

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A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

A curated list of trustworthy deep learning papers. Daily updating...

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Lightweight, stable, efficient PyTorch implement of reinforcement learning

Instructions on downloading and using the LibriAdapt dataset

Feature-Critic Networks for Heterogeneous Domain Generalisation

Joint distribution optimal transportation for domain adaptation

Selection Distribution Generator for Domain Adaptation