vishal-pandey
I am a Software developer interested in AI, Machine learning and building related products.
Vishal PandeyNew Delhi
Pinned Repositories
9999-brick-game-car-racing
Play it here
ck
codeshare
Live Code Share Without Storing data on server - there is no server actually ;)
deep-neural-network
Deep Neural Network Implementation From Scratch in Python
deep-neural-network-javascript
Deep Neural Network Implemented to classify the digits of mnist dataset using pure javascript without any library.
GBU-FDP-Machine-Learning-Models
Datasets and Scripts of the examples explained in the Faculty Development Program organized at Gautam Buddha University, Gr. Noida on 04th of January 2019
genetic-algorithm
Genetic Algorithm to find n numbers whose sum is a certain number say target
graphics
JavaScript Emplementation of Computer Graphics Algorithm
snake-game
Snake Game
tetris
Tetris Arcade game with HTML, CSS and Javascript. Using HTML elements only not even canvas.
vishal-pandey's Repositories
vishal-pandey/deep-neural-network
Deep Neural Network Implementation From Scratch in Python
vishal-pandey/a-good-readme-template
A template to make good README.md
vishal-pandey/android-lib
vishal-pandey/delhi-weather-prediction
vishal-pandey/django-website
vishal-pandey/emotion-detection
vishal-pandey/family-tree
vishal-pandey/hospital-management-system
Hospital Management System
vishal-pandey/iot-transfer
vishal-pandey/iotc
vishal-pandey/iotc-example
vishal-pandey/iotc-js
vishal-pandey/iotc-py
vishal-pandey/iris-dataset-classification
This is the machine learning model which learns to classify three category of flowers, named Satosa, Versicolour and Virginica based on their sepal length , sepal width, petal length, petal width. Used Logistic regression as classification model
vishal-pandey/jeetso
vishal-pandey/makeupdidi-app
vishal-pandey/ml-and-ds
vishal-pandey/mtech
vishal-pandey/multi-class-image-classification-transfer-learning
vishal-pandey/notebooks
vishal-pandey/PhpMqttClient
MQTT 3.1.1 Client with TSL support in PHP
vishal-pandey/Pokemon-Classification
The project aims at using state of the art machine learning algorithms for classifying pictures of Pokemon. The pictures belong to three specific type of Pokemon (Pikachu, Butterfree, Ditto) The project also uses a neural netwok to avoid overfitting.
vishal-pandey/pytorch-tutorial
vishal-pandey/real-time-object-detection
Real Time Object Detection (coco ssd)
vishal-pandey/ruder-finn
Ruder Finn Website Design
vishal-pandey/sound-classification
vishal-pandey/SSIM
vishal-pandey/upd-protocol
vishal-pandey/wp-pointer
vishal-pandey/yt-hand-written-digit-recognition