Taoxianer

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

Big-Data-Resources

大数据/数据挖掘/推荐系统/机器学习相关资源

OpenLongTailRecognition-OLTR

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

Class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

LDAM-DRW

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

BagofTricks-LT

A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results

SAR-Ship-Dataset

RGB-T-fusion-tracking-papers-and-results

The papers and results about RGB-T fusion tracking

kmeans_smote

Oversampling for imbalanced learning based on k-means and SMOTE

DataMiningProject

包含一些比较常见的数据挖掘竞赛或者项目的源码

LST_LVIS

Class-Imbalance

Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).

FASA

Code repo for "FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation" (ICCV 2021)

Feature-Space-Augmentation-for-Long-Tailed-Data

Unofficial implementation of ECCV 2020 paper "Feature Space Augmentation for Long-Tailed Data"