Akhilesh64/Android-Malware-Detection

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13
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Jupyter Notebook
License
MIT License
Created about 4 years ago
Updated almost 4 years ago

Akhilesh64/Android-Malware-Detection

Akhilesh64

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Detection of Android Malware based on system calls using Support Vector Machines.

ResUnet-a

Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.

Image-Segmentation-U-2-Net

Implementation of the paper "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection" in TensorFlow.

Image-Classification-using-SIFT

Classification of Images using Support Vector Machines and Feature Extraction using SIFT.

Land-Cover-Classification

Classification of land based on land cover data.

Jupyter Notebook

Image-Processing

Implementation of various image processing methods from scratch in python.

Object-Detection-Caltech101

Object Detection and Bounding Box regression using Caltech101 dataset.

Change-Detection-UNet

Implementation of U-Net architecture from scratch in keras for change detection.