panyuxin2020

panyuxin2020

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Apple-Segmentation-FCN

Apple Segmentation with FCN

Language:PythonLicense:MITStargazers:2Issues:0Issues:0

MinneApple

A Benchmark Dataset for Apple Detection and Segmentation

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Mask_R_CNN_in_Fruit_Counting

Applications of AI and Computer Vision in Agriculture-Fruit recognition, localization and segmentation

Language:Jupyter NotebookLicense:MITStargazers:17Issues:0Issues:0

mask-rcnn-keras

这是一个mask-rcnn的库,可以用于训练自己的实例分割模型。

Language:PythonLicense:MITStargazers:313Issues:0Issues:0

Colab

这是一个Colab使用的示例notebook。配合博文使用。

Language:Jupyter NotebookLicense:MITStargazers:22Issues:0Issues:0

Mask_RCNN

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

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Deep-fractional-BP-neural-networks

This is the code of the paper "Fractional-Order Deep Backpropagation Neural Network".

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Deep-Learning-Algorithm

Keras framework based on TensorFlow is used to build common deep learning network models, including BP, CNN, LSTM, etc

Language:PythonLicense:GPL-3.0Stargazers:1Issues:0Issues:0

Airline-Passenger-Satisfaction

Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.

Language:Jupyter NotebookLicense:MITStargazers:25Issues:0Issues:0

Academic_Success_Predictions

This project is a web page that hosts a Deep Neural Network that predicts if a student will pass a class and takes in various inputs about the students like how many classes that they have failed, parent’s jobs, alcohol consumption, study time, etc. The data was located in an AWS S3 Bucket and I used PostreSQL to perform ETL with the cleaned data put into my AWS RDS. We decided to go with a DNN for our machine learning model because we built and tested several different models and the DNN consistently produced the highest accuracy scores.

Language:Jupyter NotebookLicense:MITStargazers:2Issues:0Issues:0