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cnn

1). This Convolutional Neural Nets toolbox is a 1D derivative of the 2D CNN created by Rasmus Berg Palm in 2002. For details, see LICENSE. 2). The ECG data used for testing is from MITBIH. The data is processed by Yang Zhao.

cookbook_and_code

dataminingproject

包含一些比较常见的数据挖掘竞赛或者项目的源码

deep-learning

深度学习笔记

deeplearning-tensorflow2

本专栏我将使用谷歌TensorFlow2.0框架逐一复现经典的卷积神经网络：LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列，以及现在比较流行的：RCNN系列、SSD、YOLO系列等。

detr

End-to-End Object Detection with Transformers

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

dts

A Keras library for multi-step time-series forecasting.

faster-rcnn-tensorflow-python3

Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)

faster-rcnn-tf2

这是一个faster-rcnn的tensorflow2实现的库，可以利用voc数据集格式的数据进行训练。

fuzzyentropy_matlab

Here are the Matlab codes used in "Fuzzy Entropy Metrics for the Analysis of Biomedical Signals: Assessment and Comparison, IEEE ACCESS, 2019", including fuzzy entropy with triangular, trapezoidal, Z-shaped, bell-shaped, Gaussian, constant-Gaussian, and exponential functions.

gru-svm

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

hello-world

一次测试

ieee-etfa2020-paper

Machine Learning Based Unbalance Detection of a Rotating Shaft Using Vibration Data

ieee_34_node_test_feeder

IEEE Distribution Power System Simulation in MATLAB

keras-attention-mechanism

the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rather than timesteps in the origin project。

keras_bearing_fault_diagnosis

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

lstm-svm-rf-time-series

Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测，注释拉满。

lstm-visualisation

lstm_attention

attention-based LSTM/Dense implemented by Keras

lstm_fault_detection

fault detection in wind turbines

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mechanical-fault-diagnosis-based-on-deep-learning

CNN for mechanical fault diagnosis

pyemd

Python implementation of Empirical Mode Decompoisition (EMD) method

python-machine-learning

机器学习算法项目

safety-helmet-wearing-dataset

Safety helmet wearing detect dataset, with pretrained model

sentiment-analysis

Implementation of classical SVM and deep Seq-to-Seq LSTM models to analyze and classify sentiment (1-5 scale) on Amazon reviews.

smart_construction

Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程！！！😆🚀