Git Product home page Git Product logo

I'm Paras Varshney

Data Scientist at LogicAI ● Kaggle Master ● ZbyHP Global Data Science Amabssador
Speaker at NVIDIA GTC AI Conference'21 and ODSC West'22

Graduate Researcher at Northeastern University, Boston


blurred-machine

blurred-machine

  • 🔭 I’m currently working on Formula 1 Driver' Mind Wandering Assessment with Physiological Signal using Transformers
  • 🔭 My second Research is on Ocean Acoustic Sound Engineering and Ecosystem Sensing
  • 👯 I’m looking to collaborate on Kaggle Competitions
  • 📝 I regularly write articles on Medium
  • 💬 Ask me about anything regarding ML/AI/Data Science
  • 📫 How to reach me [email protected]
  • 📄 Know about my experiences Linkedin
  • ⚡ Fun fact I can solve Rubik's Cube in under 40 seconds

Connect with me:

blurredmachine blurred-machine parasvarshney blurred_machine

Languages and Tools:

android arduino aws bash blender cplusplus css3 d3js docker figma firebase flask gcp git hadoop heroku html5 java kafka kibana kotlin kubernetes linux matlab mongodb mssql mysql opencv pandas postgresql postman python pytorch rabbitMQ scikit_learn seaborn sketch tensorflow zapier

blurred-machine

 blurred-machine

GitHub Streak


You have finally discovered my Github profile, so let's get connected!
Please feel free to clone projects and raise issues if you think something could be better.
Happy Coding!!

Paras Varshney's Projects

computer-vision-image-classification icon computer-vision-image-classification

In this repository I have implemented computer vision on MNIST dataset for images classification for digits between 0-9, fashion clothings and sign language hand signals. The models are implemented using TesorFlow. Feel free to send a PR for any oprimization or modification.

computer-vision-problems icon computer-vision-problems

In this repository, I have solved two problems with computer vision. The first Implementation is building a CNN in which the input is a noisy number and the output is a denoised number based on AutoEncoders. The second implementations is sequencing the characters read from number plates done using object detection.

covid-19-eda-tutorial icon covid-19-eda-tutorial

This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.

d3 icon d3

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

data-science icon data-science

This repository contains all of my minor projects built by me during the learning plase of Machine Learning and Data Science. Feel free to create a PR for modifications.

databaseexample icon databaseexample

Database Connectivity example for Android along with all operations i.e insert, delete ,update , remove.

disaster-analysis-based-on-tweets icon disaster-analysis-based-on-tweets

Real or Not? NLP with Disaster Tweets. This is a Kaggle challange for data science learners. This repository consists of my solution build using Python to detect whether a disaster is real or not using tweets data by applying various NLP Techniques.

generate-synthetic-images-with-dcgans-in-keras icon generate-synthetic-images-with-dcgans-in-keras

In this project, I have built a DCGAN based synthetic image generator and a discriminator on the fashion-MNIST dataset. Generated synthetic images using DCGAN and tried to fool the discriminator

hackbout-2020 icon hackbout-2020

Project Submissions for HackBout. Please visit Branch Albatross to find the wip code. Feel free to raise PR.

hackerearth-ml-challenge-june-2020 icon hackerearth-ml-challenge-june-2020

HackerEarth Machine Learning Challenge to Predict the employee attrition rate in organizations. This repository contains my solution of achieving rank 300 (best 161)

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

iiitdmk-solasta icon iiitdmk-solasta

This repository consists of the source code of the Android Application for the Solasta Fest. Solasta is a Techno-cultural fest at IIITDM and is celebrated each year in the month of March. The codebase is completely in Java and is build using android components.

imdb-movies-reviews-classification-nlp icon imdb-movies-reviews-classification-nlp

Research oriented, developing word embeddings for binary text-polarity classifier based on movie reviews using BoW, TF-IDF, n-Gram, Word2Vec, Doc2Vec, PV-DM, PV-DBOW and other NLP techniques.

ineuron icon ineuron

This repository consists of all the study material for the course of iNeuron. The course is "Deep learning with Advance Computer Vision and NLP Masters".

iudx-analytics-app icon iudx-analytics-app

A sample application of a high ingestion and consumption volume analytics application running on IUDX

mingpt icon mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.