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Xacrolyte πŸ‘¨β€πŸ’»

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Hi there πŸ‘‹,

My name is Aayush and you can find me all over the internet by @xacrolyte. I am full stack developer currently engaged with data science and developing solutions via ML and AI based crunch.

🧐 About

  • πŸ„β€ Community guy who loves being involved in communities and help students grow
  • πŸ˜„ I will usually be a part of hackathons as a #Mentor, #Participants and a #Organiser
  • πŸ”­ I love to speak at public events and been a speaker at many events. I organise Workshops, Webinars etc to help student Community
  • 🌱 I even pursue my hobby as a short story writer and poet.
  • πŸ‘― And Many More...

Hello world!Β 

  • πŸ’¬ Ask me about anything and everything!
  • πŸ“« How to reach me: message me at Whatsapp
  • ⚑ Fun fact: I love meeting new people and eating food!
  • πŸ’¬ Ping Me about #ml, #ai, #hackathons, #js, #python, #talks, #computervision and/or anything you like

NOTE: Top languages does not indicate the skill level or something like that, it is a github metric which determines the language which has the most code on the github profile.

xacrolyte xacrolyte

react angularjs android bootstrap c coffeescript cplusplus css3 django docker electron go html5 java javascript typescript mongodb mysql php redis sass nodejs python linux redux webpack express flutter dart

Aayush Sarkar's Projects

deep-learning-training-gui icon deep-learning-training-gui

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

deploy-react-kubernetes icon deploy-react-kubernetes

Built for developers who are interested in learning how to deploy a React application on Kubernetes, this pattern uses the React and Redux framework and calls the OMDb API to look up movie information based on user input. This pattern can be built and run on both Docker and Kubernetes.

devportfolio icon devportfolio

A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass

dotvfiles icon dotvfiles

A little planet of dotfiles in the galaxy Unix

dpsrintramun icon dpsrintramun

Live demo at https://sayamkanwar.github.io/dpsrintramun/

ezcab icon ezcab

One of my practice app projects.

faker.js icon faker.js

generate massive amounts of realistic fake data in Node.js and the browser

ffdl icon ffdl

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

fixture icon fixture

A no-bullshit, free and open source raster graphics editor.

gitexplorer icon gitexplorer

Find the right git commands without digging through the web.

global-citizen icon global-citizen

Build a 3-member blockchain application using the IBM Blockchain Platform.

gpt-3 icon gpt-3

GPT-3: Language Models are Few-Shot Learners

graphics icon graphics

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

groot icon groot

GROOT: Welcome to my source code, I'm your personal assistant

hacktoberfest icon hacktoberfest

Make your first PR! ~ A beginner friendly repository made specifically for open source beginners. Add any program under any language (it can be anything from a hello-world program to a complex data structure algorithm) or update the existing one. Just make sure you add the program under the correct language directory. Happy coding

hexbot icon hexbot

Every request returns a different hex codeβ€”all 16,777,216 of them.

humhub icon humhub

HumHub - Open Source Social Network

inpycon2017 icon inpycon2017

PyCon India 2017 Website, staging site from master branch is available at https://pythonindia.github.io/inpycon2017

iotimageanalysis icon iotimageanalysis

Fire Alarm using Watson Visual Recognition This project is a how-to guide on using Watson Visual Recognition service to analyse an image and based on a trigger word then send a event command to IoT Device.In this example node-red is used to create an image upload form which sends the image to Watson Visual Recognition and trigger an iot device whenever fire is detected in the image.

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