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100-days-of-ml-code

100 Days of ML Coding

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cifar10-tensorflow

cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率的影响，如何一步步得提高准确率

clrs-notes-solutions

算法导论，第3版，学习笔记，习题答案

cp_newbank_mobile_behavior

新网银行“2020创青春·交子杯” 新网银行金融科技挑战赛项目

dataminingcase

基于真实业务上手数据挖掘（银行流失预警）:数据的处理、LightGBM、skLearning包(里面含有：GridSearchCV寻找最优参、StratifiedKFold分层5折切分、_test_Split单次数据切分等)、叠层模型融合、画AUC图、画混淆矩阵图，并输出预测名单。

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

edgeml

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

estimation-of-remaining-useful-life-using-cnn

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

gaia

Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained explicitly on interpolations to promote convexity and better latent interpolations.

gitskills

graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

interview-code-practice-python

面试题

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）

learngit

lifelines

Survival analysis in Python

lifetimes

Lifetime value in Python

maxmin-cnn

Implementation of Paper: "MaxMin Convolution Neural Networks for Image Classfication" in Keras.

mechanical-datasets

nasa_rul_-cmaps-

Remaining Useful Life (NASA CMAPS Dataset)

predict-remaining-useful-life

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

prognosticsalgorithmlibrary

prognosticsmodellibrary

remaining-useful-life-estimation-of-rocket-engines

Similarity matching based remaining useful life estimation

rul-net

Temporal Convolutional Memory Networks for rul