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ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

awesome-feature-engineering

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

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

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

ckmeans

gcn_for_eeg

Graph Convolutional Networks for 4-class EEG Classification

ijcai_workshop_macauchallenge_session2

imbalancedms-code

The corresponding code for the paper "Quality Control of Imbalanced Mass Spectra from Isotopic Labeling Experiments"

linear_algebra_with_python

Lecture Notes for Linear Algebra Featuring Python

lrr

Low-Rank Representation Python implementation

matrix-completion

Lightweight Python library for in-memory matrix completion.

matrix-factorization-in-python

mlbook

Repository for the free online book Machine Learning from Scratch (link below!)

motrix

A full-featured download manager.

pytorch-tutorial

Build your neural network easy and fast, 莫烦Python中文教学

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

smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

tensor_tools

张量分解算法整理