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additive-margin-softmax-loss-pytorch

Additive margin softmax loss in pytorch

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks and libraries. | 类别不平衡学习：论文/代码/框架/库

awesome-longtailed-learning

A curated list of awesome deep long-tailed learning resources.

awesome-of-long-tailed-recognition

A curated list of long-tailed recognition resources.

bagoftricks-lt

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

balancing-data-smote

In this project, I have worked on the problem of Credit Card Fraud Detection. The data is highly imbalanced with the positive class (fraud) accounting merely for 0.172% of the data. In classification problem balancing your data is extremely important. Here I have described how accuracy should not be the only criteria to judge model performance.

bbn

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

catalyst

Accelerated deep learning R&D

cdcgan

cifar-10-classifier-pytorch

A simple cifar-10 classifier with PyTorch

cifar10-cnn

Some experiments with CIFAR-10 dataset

class_imbalance

Jupyter Notebook presentation for class imbalance in binary classification

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

credit-card-fraud_j2d_project_python

Apply 7 common Machine Learning Algorithms to detect fraud, while dealing with imbalanced dataset

cs231n.github.io

Public facing notes page

dealing_with_imbalanced_data

This project is about how you can deal with imbalanced data and which performance metrics' particularly important compared to usual practices fairly balanced data.

dgc

Official implementation of CVPR2020 paper "Deep Generative Model for Robust Imbalance Classification"

exploringdeepembeddings

3D visualizations of the embedding space for deep learning models

face-recognition

Face Recognition using pre-trained model built-on Arcface was implemented on Pytorch.

gans-awesome-applications

Curated list of awesome GAN applications and demo

handle-imbalanced-data

Get familiar with various techniques to handle the imbalanced class.

highly_imbalanced_practice

We explore three algorithms and their combinations to tackle this problem of imbalance in the given dataset. Those algorithms are Gradient Boosting, SMOTE and Tomek Links. Each one is discussed in its own section.

image_recognition_cnn_cifar10

Image Recognition using Convolutional Neural Network with CIFAR10 Dataset

imbalance

imbalanced-algorithms

Python-based implementations of algorithms for learning on imbalanced data.

imbalanced-classification

根据60个特征，70万条数据预测5G用户，一个典型的不平衡二分类问题。According to 60 features, 700000 pieces of data predict 5G users, a typical imbalance problem.

imbalanced-data

Examples of algorithms dealing with imbalanced data.

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

imbalanced-learning-papers

Papers on imbalanced learning