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👋 Hello! I'm Jagadish.

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Who am I

Exposure to fields like Design to Technology, and Psychology changed my views of seeing the world. I love seeing technology in terms of design and interaction. This vision reflects in all of my projects and ideas.

Experimenting and exploring is my way of life. In short, I do what I love, and I love what I do.


Portfolio

Currently, I'm the head of MegaCraft Technologies and a freelance web developer who wants to break the conventional ways of web designing. Before that, I was a front-end developer in Start 247, Cavadium Retail, and the National Institute of Ocean Technology (NIOT)


Get in touch

Jagadish Sivakumar's Projects

ai-algorithms icon ai-algorithms

This repository contains my algorithm implemetantion +EDA + data visualization

convnetjs icon convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

convnetjs-minified-library icon convnetjs-minified-library

ConvNetJS minified library, the source is from :https://cs.stanford.edu/people/karpathy/convnetjs/build/convnet-min.js

corona_outbreak_prediction icon corona_outbreak_prediction

The idea of the project is to develop an effective time series additive model and answer "Will India become next Italy, Wuhan, S.Korea ? "

cosmos icon cosmos

[Show :heart: love by 🌟] Your personal library of every algorithm and data structure code that you will ever encounter

d3 icon d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

deep-learning-keras-tf-tutorial icon deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

deeplearnjs icon deeplearnjs

A hardware-accelerated machine intelligence library for the web.

keras-unet-collection icon keras-unet-collection

The Tensorflow, Keras implementation of U-net, V-net, U-net++, R2U-net, Attention U-net, ResUnet-a, U^2-Net, and UNET 3+ with optional ImageNet-trained backbones.

limdu icon limdu

Machine-learning for Node.js

node icon node

Node.js JavaScript runtime :sparkles::turtle::rocket::sparkles:

nyaggle icon nyaggle

Code for Kaggle and Offline Competitions

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