Balaviknesh

Balaviknesh's Stars

• OptimalBits/bull

  Premium Queue package for handling distributed jobs and messages in NodeJS.

  Language:JavaScript15.7k1131.8k1.4k

• paulmillr/chokidar

  Minimal and efficient cross-platform file watching library

  Language:JavaScript11.2k88973586

• JohnSnowLabs/spark-nlp

  State of the Art Natural Language Processing

  Language:Scala3.9k101891716

• bee-queue/bee-queue

  A simple, fast, robust job/task queue for Node.js, backed by Redis.

  Language:JavaScript3.9k34224218

• OpenLauncherTeam/openlauncher

  Customizable and Open Source Launcher for Android

  Language:Java1.4k73534413

• JohnSnowLabs/spark-nlp-workshop

  Public runnable examples of using John Snow Labs' NLP for Apache Spark.

  Language:Jupyter Notebook1k5878605

• Spikeysanju/Expenso

  📊 A Minimal Expense Tracker App built to demonstrate the use of modern android architecture component with MVVM Architecture

  Language:Kotlin9891345172

• nkolban/ESP32_BLE_Arduino

  The library source for the ESP32 BLE support for Arduino.

  Language:C++909770335

• jmcerrejon/PiKISS

  PiKISS for Raspberry Pi: A bunch of scripts with menu to make your life easier.

  Language:Shell8964118592

• waveform80/pistreaming

  A little demo of streaming the Pi's camera to web browsers

  Language:JavaScript7624751205

• sameersyd/Expenso-iOS

  A Simple Expense Tracker App built to demonstrate the use of SwiftUI, CoreData, Charts, Biometrics (Face & Touch ID), Export CSV and MVVM Architecture.

  Language:Swift724181892

• nyoki-mtl/keras-facenet

  Facenet implementation by Keras2

  Language:Jupyter Notebook5531327218

• sbidy/pywizlight

  A python connector for WiZ devices

  Language:Python465206681

• aadhithya/rajiniPP

  Programming language based on Iconic dialogues of Rajinikanth. 🤘🏽

  Language:Python18862020

• dxue2012/python-webcam-flask

  Language:Python9351240

• mudigal-technologies/ngx-audio-player

  A library for playing audio using HTML 5 audio for Angular 7/8/9/10/11/12/13/14/15/16.

  Language:TypeScript8727568

• jboullianne/SwiftUIBanner

  SwiftUIBanner

  Language:Swift803311

• himbeles/LocationProvider

  A Combine-based CoreLocation Provider as a Swift Package

  Language:Swift46355

• assembleinc/kids-tunes-android

  A sample Apple MusicKit project that demonstrates how to integrate Apple MusicKit with your iOS, Android or react app.

  Language:Kotlin29127

• SkyD666/UPlayer

  A desktop music player using Compose Multiplatform

  Language:Kotlin14210

• Balaviknesh/Docker-Music-Dock

  A simple web music player running in Node JS in a Docker Container

  Language:TypeScript8112

• manan30/chandrayaan-2

  Chandrayaan-2 animation developed using three-js and React

  Language:JavaScript7002

• zdenulo/upload-data-firestore-dataflow

  Language:Python6206

• Balaviknesh/Docker-Todo-Lsit-Dock

  A simple Todo List app built using MEAN stack and ability to run as container using Docker and Docker Compose

  Language:TypeScript5103

• vandanasri/KotlinPracticeProject

  This project explains about the kotlin related syntax

  Language:Kotlin5202

• PRASANTHRAJENDRAN/spring-boot-starter-data-redis-cache-demo

  Sample Spring boot starter data redis project to illustrate the configuration to set the default TTL(Time To Live) and cache-wise TTL

  3102

• Balaviknesh/Credit_Card-Fraud_Detection-AutoEncoders-XGB

  Credit card Fraud Detection using AutoEncoders Neural network to encode complete dataset. Training the Genuine Transaction Data alone and create Anomaly Detecting Classification Model using the simple Logistic Regression Classifier and XGBoost to predict the Fraud transaction from the Encoded dataset.

  Language:Jupyter Notebook2100

• cyberhenoch/PeopleInSpace

  Minimal Kotlin Multiplatform project using Jetpack Compose and SwiftUI

  Language:Kotlin1000

• domzhaomathematics/Deep-Reinforcement-Learning

  Working implementation of the DQN algorithm in Reinforcement Learning. Improved on it by using reccurent neural networks to capture better the time dependencies of the games. The next step is to use hyperbolic Neural Networks to see if it can capture temporal abstraction

  Language:Jupyter Notebook120

• jorgecis/ESP32_Relay_ExampleCode

  Language:C++1110