dashengbryant Goto Github PK

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、框架与库

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

imbalanced-algorithms

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

imbalanced-ensemble

A Python toolbox for quick deploying ensemble algorithms on multi-class imbalanced data. | 在类别不平衡/长尾分布数据上快速部署集成学习算法

imbalanced-learn

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

jiabaobei

loan-prediction-using-logistic-regression

Learn how to predict if a person will be able to pay the loan with logistic regression algorithm using sklearn library for machine learning.

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mesa

NeurIPS’20 | Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

mlens

ML-Ensemble – high performance ensemble learning

py-mdnet

MDNet PyTorch implementation

pytorch-maml

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

random-forest-importances

Code to compute permutation and drop-column importances in Python scikit-learn models

self-paced-ensemble

ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

temperature_scaling

A simple way to calibrate your neural network.