mmarathe43

Pinned Repositories

Gender-Recognition-CNN
Used the concepts of convolutional neural networks and computer vision to implement a CNN to identify a person's gender from an image of their face and achieved 95% accuracy.
Language:Python10
Blog-Site
Used the concepts of HTML,CSS,NodeJs and Mongoose to implement a blog website enabling users to write and read blogs
Language:JavaScript00
Cat-Or-Dog-classification-CNN
Used concepts of convolutional neural networks and computer vision to implement a convolutional neural network to identify if an image has a cat or a dog and achieved 85% accuracy
Language:Python00
Dice-Website
Website simulating rolling of dice and declaring the winner among 2 players.
Language:HTML00
Drum-Kit-Website
Drum KIt Website allowing users to play drums on click or key presses
Language:JavaScript00
galen-help
00
medplus
Language:HTML00
medplus1.1
Language:JavaScript00
NEAT_flappy_bird
Language:Python00
Number-Recognition-Neural-Network
Created a neural network to identify a handwritten digit and achieved 95% accuracy.
Language:Python00

mmarathe43's Repositories

mmarathe43/galen-help
mmarathe43/medplus
Language:HTML
mmarathe43/medplus1.1
Language:JavaScript
mmarathe43/T0-Do-List
Language:JavaScript
mmarathe43/Blog-Site
Used the concepts of HTML,CSS,NodeJs and Mongoose to implement a blog website enabling users to write and read blogs
Language:JavaScript
mmarathe43/NEAT_flappy_bird
Language:Python
mmarathe43/scanit_privacy_policy
Language:HTML
mmarathe43/Drum-Kit-Website
Drum KIt Website allowing users to play drums on click or key presses
Language:JavaScript
mmarathe43/Simon-Game
Used the concepts of HTML,CSS,javaScript to create a single player memory game scoring the player.
Language:JavaScript
mmarathe43/Dice-Website
Website simulating rolling of dice and declaring the winner among 2 players.
Language:HTML
mmarathe43/Tinder-For-Dogs
Used the concepts of HTML, CSS , Bootstrap to create a website for a dating app for dogs.
Language:HTML
mmarathe43/Gender-Recognition-CNN
Used the concepts of convolutional neural networks and computer vision to implement a CNN to identify a person's gender from an image of their face and achieved 95% accuracy.
Language:Python1
mmarathe43/Number-Recognition-Neural-Network
Created a neural network to identify a handwritten digit and achieved 95% accuracy.
Language:Python
mmarathe43/Cat-Or-Dog-classification-CNN
Used concepts of convolutional neural networks and computer vision to implement a convolutional neural network to identify if an image has a cat or a dog and achieved 85% accuracy
Language:Python