Multivariate Normal Distribution Based Over-Sampling for Numerical and Categorical Features

《机器学习》（西瓜书）公式详解

😎 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

😎 A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

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Tiny Gradient Boosting Tree

🎉 A magical vue admin https://panjiachen.github.io/vue-element-admin

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes

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

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

Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.

DOCUMENTATION:

Workflow management for signac-managed data spaces.

This repository contains all the algorithm and data used in our paper "A parametric optimization oriented, AFSA based random forest algorithm: application to detection of cervical epithelial cells"

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

A python library for decision tree visualization and model interpretation.

Solutions of the forecast problem using Xgboost

用户贷款风险预测

安全场景、基于AI的安全算法和安全数据分析业界实践

XGBoost 中文文档

🎨 Python Echarts Plotting Library

Data competition Top Solution 数据竞赛top解决方案开源整理

Popular machine learning algorithms, including GBDT, SVM and NN, implemented with simple python code.

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flo…