UsamaHasan/Classification-of-Malware-dataset-Microsoft-kaggle-2015-using-deep-Neural-Networks-

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Created about 6 years ago
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UsamaHasan/Classification-of-Malware-dataset-Microsoft-kaggle-2015-using-deep-Neural-Networks-

UsamaHasan

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Implemetation of Convolutional Neural Nets and Autoencoder to classify Malware.

Tracking

The following code is an uncompleted version of calculating hand trajectory using Realsense D435, yolov3(F-RCNN) and opencv tracker 'CSRT' for further tracking the hand

VGG-16-Implementation-In-TensorFlow

Visual Geometry Group (VGG) Model Implementation in TensorFlow.

AEPI-Automated-Ear-Pinna-Identification

AEPI: Representation Learning and Evaluation of Human Ear Identification based on a blend of Residual Network and Spatial Encoding

models

This repo reserves as a container for me to implement different Deep learning model in PyTorch and Tensorflow for practicing.

ray-tracing

Dataset-Annotation-file-parser

Codebase-for-RCNN

A generic codebase of RCNN

PyTorchPracticeExamples

This repo contains all the examples I did while learning PyTorch

Jupyter Notebook

DecisionTree

Decision Tree Implementation using anytree library python.

Jupyter Notebook

DistractedDriverClassification

A ResNet Model trained on Distracted Driver Dataset in PyTorch.

Animated-Marker-for-Ar.js

Neural-Network-with-MicroGrad-

Neural Network Implementation with Automatic Gradient Implementation inspired from Andrej Karpathay Tutorial.

OOP-Examples-in-Python

This repo contains the examples of Object Oriented Programming concepts in Python

usamahasan.github.io