Kush_Shah's Projects
AlexNet is used to classify images . It is a pretrained network, a type of convolutional neural network CNN.
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
Some important algorithms!
This repository is the source for the argocd deployment in k3d infra cluster deployed locally. All of the application crds added in the repository will be automatically pulled by argocd running on local.
Create a signal that contains the beat phenomenon and then analyze the signal's frequency content.
This repository contains various code blocks and other data as an additional info for my published or yet to published blogs
Buchautoren is a german term for books and its authors. This app helps you to keep a record of books and their authors
This repository contains answers for Hackerrank questions given in CCC March 2020 Session. The answers are provided only for reference.
Write programs and contribute.
ConvoNeuro is a collection of deep learning models for binary and multi-class classification using Tensorflow.
Algorithms that run our universe | Your personal library of every algorithm and data structure code that you will ever encounter | Ask us anything at our forum
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Cheat Sheets
Uploading the raw data for easy access in google colab
This repository contents information about the foundation steps required to carry out a deep learning project.
This repo contains files regarding various classification problems such as cat-v-dog, mnist, fashion_mnist, horse-v-human.
We have determined that the flowernet network is 92% accurate (22/24) on the test data. You can see visually that the two misclassifications were both predicted to be bluebells, whereas they were actually a crocus and an iris. You could use standard MATLAB data analysis techniques to further investigate these misclassified images. A typical approach is to find which files contain the misclassified images, then import and view these images (or a subset of them) to see if there are any characteristics that are causing problems for the network. Note that this example used a much higher ratio of training images to test images than you would normally use in practice. This was done to reduce the amount of time needed to classify the test images in these interactions. If possible, in practice you should reserve enough test images so that the test results can be taken as representative of the network's behavior in general use.
A tool for tracking and analyzing the performance of a user's portfolio of investments.
frm - FastAPI React MongoDB
Google AI Research
Smart Plant Monitoring for Precision Farming
This repository has the solutions for the newbies on hackerearth. It contains solutions for the the initial stage programs if you get stuck at some point.
This repository has the solutions for the newbies on hackerearth. It contains solutions for the the easy level programs if you get stuck at some point.
An open source repository to contribute any projects or programs you have made.
Your gateway to Open Source