Discover @nandangrover Open Source projects

Nandan Grover (@nandangrover)

nandangrover

Stars
61
Global Rank 296,700 (Top 11 %)
Followers 24
Following 14
Registered over 7 years ago
Most used languages

Jupyter Notebook
45.5 %

JavaScript
18.2 %

CSS
9.1 %

Python
4.5 %

Java
4.5 %

TypeScript
4.5 %

Prolog
4.5 %

Ruby
4.5 %

Go
4.5 %
Location 🇮🇳 India
Country Total Rank 10,705
Country Ranking

Prolog
31

Go
506

Ruby
1,976

Jupyter Notebook
2,505

CSS
2,548

TypeScript
6,093

JavaScript
6,609

go-microservices

Microservices in GO

docker-defaults

Defaults for docker with mongo + node + express + graphql setup for server and react + apollo + redux setup for client.

heart-disease-classifier

Heart Disease Classifier using fastai

Jupyter Notebook

domestic-robot-jason

Learning Multi Agent Systems and Jason programming Language

CV

A Sample HTML and JSON template to build your CV

self_driving_car

Jira-Active-Tickets-Helper

Jira Chrome Extension to move the tickets from watch to Excel sheet

crypto-nlg

NLG Text Generation for Cryptocurrencies

model-communicator

Communicate between two Alpaca models

Jupyter Notebook

housing-management

Housing Management web app made using React + Node + GraphQL + Typescript

triwizard-game-prolog

Triwizard Game using Prolog

Social-Network-Node

checkoutSystem

Checkout System in Ruby

lasso-regression

Lasso regression to predict body fat percentage

Jupyter Notebook

blood-cell-detection-cnn

Blood cell detection using cnn

Jupyter Notebook

recurrent-neural-network

Recurrent Neural Network

Jupyter Notebook

covid-19-cnn

Detect Covid-19 from images using Convolution Neural Network

Jupyter Notebook

octa-puzzle

Octa Puzzle solved using concepts of Symbolic AI

Jupyter Notebook

learning-models

Learning-based models for Classification

Jupyter Notebook

Player

Simple Javascript player with MVC model

reinforcement_frozenlake

A Deep Dive into Reinforcement Learning: Q-Learning and Deep Q-Learning on a 10x10 FrozenLake Environment

Jupyter Notebook

nlp-classification

Classify conversation between therapist and client using natural language processing

Jupyter Notebook