本设计项目名为“面向银行信用卡的风险评估模型设计”，是天津大学电气自动化与信息工程学院《模式识别》课程中完成的。项目的核心目标是开发一套全面的银行信用卡业务风险评估模型，旨在帮助银行更好地理解和控制信用卡相关的风险，包括违约、欺诈等问题，从而提升其风险管理能力。

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

🏦 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

天大博士/硕士学位论文Latex模板，根据2021年版要求修改，可直接在Overleaf上运行。:star:所写的论文成功提交天津大学图书馆存档！（2021.12.24）

[NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities

"Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).

source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"

This example implements the paper in review [Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture]

Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS,…

Implementation of CVPR 2020 paper "MMTM: Multimodal Transfer Module for CNN Fusion"

Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks

The repo for "Balanced Multimodal Learning via On-the-fly Gradient Modulation", CVPR 2022 (ORAL)

Code Example for Learning Multimodal Data Augmentation in Feature Space

The repo for "Enhancing Multi-modal Cooperation via Sample-level Modality Valuation", CVPR 2024

[ICML 2023] Provable Dynamic Fusion for Low-Quality Multimodal Data

Addressing Failure Prediction by Learning Model Confidence

PyTorch implementation of the paper "Identifying Incorrect Classifications with Balanced Uncertainty"

A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)

DomainBed is a suite to test domain generalization algorithms

A deep learning-based framework for multi-source precipitation fusion

Surface melt record on all Antarctic ice shelves with a high spatial (500 m) and high temporal (12 h) resolution.

A python tool to perform deep learning experiments on multimodal remote sensing data.

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

[CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation

This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2021, Spotlight)

A research toolkit for particle swarm optimization in Python

[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]