akhilesh64 Goto Github PK

android-malware-detection

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

arista-networks-internship

change-detection-unet

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

cloth-segmentation

Cloth type segmentation using autoencoder network in TensorFlow.

data-analysis-bootcamp

My assignments for the Data Analysis with Python Bootcamp.

fgsegnet_v2

My additions to the state of the art foreground extraction method by Long Ang LIM and Hacer YALIM KELES. The original paper can be found at the link below.

florum-ipsum-dcgan

Implementation of DCGAN for the generation of flowers.

image-classification-using-sift

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

image-processing

Implementation of various image processing methods from scratch in python.

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-super-resolution

Implementation of Super Resolution CNN in Keras.

land-cover-classification

Classification of land based on land cover data.

leaves

Image processing for contour detection and classification of leaves into old and new leaves.

object-detection-caltech101

Object Detection and Bounding Box regression using Caltech101 dataset.

optical-character-recognition

A basic OCR script based on tesseract for python which extracts text from images and uses OpenCV.

resunet-a

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

social-distancing-mobilenet-ssd

Social Distancing Monitor implemented using MobileNet SSD_v2.

speech-recognition

Speech Recognition using python's speech recognition library and Google's Speech to Text API.

tensorflow

My ongoing work and learning on tensorflow.

zypher

A home security device based on IoT made using Raspberry Pi 3B+, which captures the image and video of the intruder and notifies the owner/s via email.