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a-weakly-supervised-learning-based-oversampling-framework-for-imbalanced-classification

This is a program of a new weakly supervised learning based oversampling framework to solve the imbalanced classification proposed by Min Qian and Yanfu Li.

ace

code for paper [ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot] (ICCV 2021, oral))

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

awesome-imbalanced-learning

Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

awesome-long-tail-learning

awesome-long-tailed

Papers about long-tailed tasks

awesome-low-level-programming-languages

A curated list of low level programming languages (i.e. suitable for OS and game programming)

awesome-of-long-tailed-recognition

A curated list of long-tailed recognition resources.

awesome-self-supervised-learning-for-tabular-data

A collection of research materials on SSL for tabular data

awesome-test-time-adaptation

Collection of awesome test-time (domain/batch/instance) adaptation methods

bagoftricks-lt

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

balancedmetasoftmax-classification

[NeurIPS 2020] Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition" on long-tailed visual recognition datasets

balancedmse

[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427

business_analytics_tutorial

2022년 2학기 고려대학교 Business Analytics 수업의 Algorithm Tutorials Page

chatgpt

Reverse engineered ChatGPT API

classifier-balancing

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

cljs-vscode-extension-hello-world

A minimal cljs vscode extension using shadow-cljs.

colab_continual_learning_tutorial

Continual Learning tutorials and demo running on Google Colaboratory.

continual-learning-mas-cloning-injection-molding

Code to reproduce the results from the paper "Continual Learning of Neural Networks for Quality Prediction in Production using Memory Aware Synapses and Weight Transfer" by Tercan et al., submitted to the Journal of Intelligent Manufacturing

continuallearning

controllabledl

cpg

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

deep-iforest

offical implementation of TKDE paper "Deep isolation forest for anomaly detection"

deep_evidential_regression_loss_pytorch

Implementation of Deep evidential regression paper

deepmtp

A python-based framework for multi-target prediction

denseweight

The imbalanced regression method DenseWeight produces sample weights for data points in regression tasks so that there is a higher emphasis on ML model performance for rare (and often extreme) data points in comparison to common data points. This repository provides a Python package with which one can easily use DenseWeight.

difficulty_net

edgegpt

Reverse engineered API of Microsoft's Bing Chat AI

evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!