Discover @v-i-s-h Open Source projects

Vishnu Raj (@v-i-s-h)

v-i-s-h

Stars
112
Global Rank 186,320 (Top 7 %)
Followers 33
Following 16
Registered almost 10 years ago
Most used languages

Julia
26.3 %

Python
21.1 %

JavaScript
10.5 %

Jupyter Notebook
10.5 %

C++
10.5 %

C
5.3 %

Arduino 5.3 %

Java
5.3 %

Shell
5.3 %
Location 🇮🇳 India
Country Total Rank 5,794
Country Ranking

Julia
9

Arduino 46

C++
1,436

Python
3,955

C
3,975

Shell
4,185

Jupyter Notebook
4,255

JavaScript
6,336

MAB.jl

A Julia Package for providing Multi Armed Bandit Experiments

lte-rl

A fork of ns3 LTE module for reinforcement learning experiments

RF24Beacon

Arduino library for using nRF24L01+ as BLE beacons

Runner.jl

Provides `@runit` macro for running scripts with commandline arguments from REPL

PiIoT-dashboard

Dashboard for PiIoT Competition

neozot-py

get recommendations from arxiv based on your zotero library

Pi-Monitor-MQTT-Bridge

A system monitor for Raspberry Pi with MQTT streaming

dl-vi-comm

Code for the paper "Design of communication systems using deep learning: A variational inference perspective"

Jupyter Notebook

scope_lite

This project is a part of e14 Tiva C Series Connected Launchpad roadtest

ai-tools

An index of openly available AI models and tools

DiscretePredictors.jl

A Julia package for online discrete symbol prediction

ModelMiner.jl

One package to train them all

TensorFlow-Sketchbook

My Tensorflow Scripts

Jupyter Notebook

uServer

A webserver to be run on TI launchpads, with USB filesystem support

BLE-Scanner

Android Project for scanning and reporting BLE devices

LinkIt-One-Linux-Arduino-Support-

Program your LinkIt One with Arduino in Linux

LinkItOne-Linux-Arduino

LinkItOne tools for Arduino in Linux

Enocean-Py

Python application for commanding and monitoring EnOcean Gateway devices

BanditOpt.jl

A Julia package for experimenting with Multi-Armed Bandits

ns3-sketchbook

Collection of ns3 simulation files

summary-likelihood

Incorporating summary prior information to Bayesian Deep Learning