Pinned Repositories
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
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
har-keras-cnn
ML-Andrew-Ng
Coursera Machine Learning (Andrew Ng) --- python code
Naive_Bayes_Meet_Adaboost
:email: Implement Naive Bayes and Adaboost from scratch and use them filter spam emails.
NiYingQiu
ML
niyingqiu's Repositories
niyingqiu/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
niyingqiu/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
niyingqiu/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.
niyingqiu/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
niyingqiu/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
niyingqiu/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
niyingqiu/TimeSeries_Seq2Seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
niyingqiu/AdaBoost
AdaBoost code in Python
niyingqiu/AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
niyingqiu/Deep-Learning
:computer:Tensorflow实战：实战教程、手写数字识别、Discuz验证码识别
niyingqiu/Deep-Learning-1
niyingqiu/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
niyingqiu/DL-wastesort
基于深度学习的垃圾分类
niyingqiu/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】
niyingqiu/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。
niyingqiu/garbage_classify-1
This is a game about garbage sorting organized by Huawei Cloud, this repository stores my plan.
niyingqiu/huawei-garbage
2019 Huawei Cloud garbage Classification Competition online score 2th place
niyingqiu/huaweicloud_garbage_classify
niyingqiu/huaweicloud_garbage_classify_competiton
niyingqiu/lihang-code
《统计学习方法》的代码实现
niyingqiu/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
niyingqiu/ML--NI
记录泥鳅自己的机器学习历程，以及所用到的数据集
niyingqiu/MTNet
Tensorflow implementation of paper http://arxiv.org/abs/1809.02105
niyingqiu/Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
niyingqiu/review_the_national_post-graduate_entrance_examination
复习考研的那些事儿～～
niyingqiu/SimpleBPNetwork
最简单的BP神经网络的手工实现。
niyingqiu/TCN
Sequence modeling benchmarks and temporal convolutional networks
niyingqiu/trash-classification
基于TensorFlow和Keras的智能垃圾分类系统，用于参加**软件杯双创大赛。
niyingqiu/trash_classify
响应习大大的号召，进行垃圾分类。基于OpenCV和TensorFlow的生活垃圾图像分类识别。
niyingqiu/tsfresh
Automatic extraction of relevant features from time series: