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Hey There! I am Devanshu

ML Enthusiast and Developer

Development

TypeScript

Angular

Git

Linux

HTML

CSS

JavaScript

React

NodeJS

Python

C++

GitHub



Data Science

Pandas NumPy Keras TensorFlow PyTorch

Frameworks and libraries

Flask Django DjangoREST Bootstrap OpenCV

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MySQL SQLite

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OS

Windows 10

Linux

Ubuntu

IDE

Visual Studio Code Sublime Text Atom IntelliJ IDEA


Here are some ideas to get you started:
  • šŸ’¬ Ask me about the quantum ML.
  • šŸ”­ Iā€™m currently working on independent research.
  • šŸ–Šļø I also try to write once in a while. Check it out!
  • šŸ‘Æ Iā€™m looking to collaborate on open source projects and ML Reasearch.
  • šŸ“« How to reach me: [email protected]
  • šŸ˜„ Pronouns: he/him
  • āš” Fun fact: I love nightouts!

šŸ“Š Stats

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Devanshu Sinha's Dev Card

Devanshu Sinha's Projects

aipnd icon aipnd

AI PROGRAMMING WITH PYTHON NANODEGREE

clip icon clip

Contrastive Language-Image Pretraining

dashcam icon dashcam

YOLOv5 Object Tracking + Detection + Object Blurring + Streamlit Dashboard Using OpenCV, PyTorch and Streamlit

datacardsplaybook icon datacardsplaybook

The Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.

dl-simplified icon dl-simplified

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning.

e-was icon e-was

This is the official repository of the Devanshu Sinha from team Haywire for the idea E-Was[Extensive Waste Management System]. This contains custom trained object detection models, Arduino codes as well as training data.

esmfold-protein-prediction icon esmfold-protein-prediction

Building a web app for predicting the protein structure in Python.Briefly, ESMFold is used as the protein structure prediction engine while Streamlit is used as the web framework.

gdc-docs icon gdc-docs

Official repository for GDC User Guides in Markdown format

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