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adaboost

AdaBoost code in Python

adversarialnetspapers

The classical paper list with code about generative adversarial nets

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

classification-of-trash-using-neural-networks

The aim is to create a computer vision approach to classify garbage into recycling categories. This would be a very efficient way to process waste. The objective is to take images of a single piece of garbage and classify it according to its recyclability status. The multiclass classifier will be based on Convolutional Neural Networks.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

coursera-ml-using-matlab-python

coursera吴恩达机器学习课程作业自写Python版本+MATLAB原版

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

deep-learning

:computer:Tensorflow实战：实战教程、手写数字识别、Discuz验证码识别

deep-learning-1

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearning-assignment

吴恩达-深度学习-课后作业-答案与总结

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dl-wastesort

基于深度学习的垃圾分类

garbage_calssify-by-resnet50-

使用迁移学习将resnet50用于垃圾分类，基于【华为云人工智能大赛·垃圾分类挑战杯】

garbage_classify

最严垃圾分类政策自7月1日颁布，如何进行垃圾分类已经成为居民生活的灵魂拷问。但是，没关系！AI在垃圾分类的应用可以成为居民的得力助手。本次垃圾分类挑战杯，目的在于构建基于深度学习技术的图像分类模型，实现垃圾图片类别的精准识别，大赛参考深圳垃圾分类标准，按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。

garbage_classify-1

This is a game about garbage sorting organized by Huawei Cloud, this repository stores my plan.

har-keras-cnn

huawei-garbage

2019 Huawei Cloud garbage Classification Competition online score 2th place

huaweicloud_garbage_classify

huaweicloud_garbage_classify_competiton

kaggle-competition-favorita

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

kaggle-web-traffic

1st place solution

lihang-code

《统计学习方法》的代码实现

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

ml--ni

记录泥鳅自己的机器学习历程，以及所用到的数据集

ml-andrew-ng

Coursera Machine Learning (Andrew Ng) --- python code

mtnet

Tensorflow implementation of paper http://arxiv.org/abs/1809.02105

naive_bayes_meet_adaboost

:email: Implement Naive Bayes and Adaboost from scratch and use them filter spam emails.