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Hi, I'm Vansh Gupta 👋

Interesting in Building Algorithms, Machine Learning, Deep Learning, Computer Vision & Reinforcement Learning

GIF

  • 🔭 I’m currently working on ML,DL and AI projects.
  • 🌱 I’m currently learning GAN,Tabula.
  • 👯 I’m willing to collaborate on building communitites, and research projects in ML.
  • 💬 Ask me about machine learning, Deep Learning, and tech related advice.
  • 📫 How to reach me: [email protected]
  • 😄 Pronouns: He/Him.
  • ⚡ Skills:- Computer vision,Neural Network,NLP,Flask,GCP,AWS,Heroku,Data Science, Python, Java

Vansh Gupta | Twitter Vansh's LinkdeIN Vansh's Codechef

Vansh Gupta's Projects

imvansh25.github.io icon imvansh25.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

know-your-intent icon know-your-intent

State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.

latex-templates icon latex-templates

Commented templates for CVs, homework, lecture notes, presentations, research papers, and essays, with commands for math/statistics symbols.

midas icon midas

Repository containg task for Round 2

ml28dec2019pp icon ml28dec2019pp

codes for Machine Learning classroom batch 28 Dec 2019 at Pitampura

multiwoz icon multiwoz

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

nlp-recipes icon nlp-recipes

Natural Language Processing Best Practices & Examples

opencv icon opencv

Open Source Computer Vision Library

polars icon polars

Fast multi-threaded DataFrame library in Rust and Python

pyrival icon pyrival

⚡ Competitive Programming Library

pytorch-studiogan icon pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

shotest-path-finding-using-obstacle-avoidance icon shotest-path-finding-using-obstacle-avoidance

With an increase in manufacturing and automation industries, we see a big requirement of work being done without any manual labour. This has resulted in a hunt for smart robots and smart robotics. An Obstacle Avoidance Robot is one such intelligent robot, which can automatically sense and overcome obstacles on its path. A robot in general may come across various types of obstacles – broadly categorized into static and dynamic obstacles. The start and the destination points of the robot are predetermined – just as it is in most applications of robotics and automation. We will implement a machine learning algorithm known as Deep Reinforcement Learning. Through this learning algorithm we allow the robot to learn and dynamically avoid potentially harmful obstacles. Hence we intend to find the shortest and best path from the start to the destination while preventing the robot from stumbling onto various obstacles.

simplehtr icon simplehtr

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

smartwatch icon smartwatch

This project provides a basic idea and framework to build an Arduino based SmartWatch. It displays incoming calls, messages and many more on OLED display. We use OLED to display some basic information from the Android smartphone like Time, date, network strength, and battery status.e fetch some information from an Android mobile phone by using an android application and then send this information to OLED display by using Bluetooth Module and Arduino UNO.

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