Jindong Wang

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

transferlearning-tutorial. 《迁移学习简明手册》LaTex源码

MachineLearning. 一些关于机器学习的学习资料与研究介绍

activityrecognition. Resources about activity recognition-行为识别资料

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

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

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

ProbabilityHomework. 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

EasyEspnet. Making Espnet easier to use

aqistudy. 全国122个城市历史空气质量爬取

tf-dann. Domain-Adversarial Neural Network in Tensorflow

awesome-leetcode. Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

maml. Python implementation MAML (model-agnostic meta learning)

informationretrieval. 信息检索检索器的Java实现

deeplearning_ai_books. deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

BUAA-Recommend-Graduate-Test. 北航2013年计算机夏令营机试题，2 problems written in C language,2013

lihang-code. 《统计学习方法》的代码实现

graph. Java实现图，邻接矩阵和邻接表两种方式

ML_Notes. 机器学习算法的公式推导以及numpy实现

ActivationMapVisualization. Visualize the activation map using Grad CAM

jindongwang.

kaggle-bikesharing. Python

Attention-PyTorch. 注意力机制实践

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

d2l-zh. 《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。

reinforcement-learning-an-introduction. Python Implementation of Reinforcement Learning: An Introduction

pytorch-book. PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

nlp-tutorial. Natural Language Processing Tutorial for Deep Learning Researchers

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

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

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

learning_to_match. Jupyter Notebook

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

pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers

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

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

pytorch-cifar. 95.16% on CIFAR10 with PyTorch

SyntaxAnalysis. syntax analytics

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

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

GNNPapers. Must-read papers on graph neural networks (GNN)

promptbench. A robustness evaluation framework for large language models on adversarial prompts

PyTorchZeroToAll. Simple PyTorch Tutorials Zero to ALL!

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

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