Satyendra Pandit's Projects
#BuildforCOVID19 Global Online Hackathon
CampK12 app built for demo purpose
UI code for demo purpose
In this notebook, I'll construct a character-level LSTM with PyTorch. The network will train character by character on some text, then generate new text character by character. As an example, I will train on Anna Karenina. This model will be able to generate new text based on the text from the book! This network is based off of Andrej Karpathy's post on RNNs and implementation in Torch.
This repository contains the projects related to computer vision. Deep Learning algorithms have been written in mainly Python using Facebook's PyTorch Deep Learning Library
A lightweight javascript utility for building hash routing in your front-end application.
Frontend Engineer Interview Project
A small lightweight React input component with debouncing that can be used in place of normal <input /> or <textarea /> fields.The component renders input with debouncing onChange event.
This small project is a mini version of news feed of social media where user can mention and tag other user by @ and can use hashtags while posting and commenting. During @mention, user can see user list added to network.
This is initial work Satyendra Pandit. This project is created as side project for Facebook's PyTorch Challenge Scholarship 2018/19.
experiment with stable diffusion
In this small project, I have shown how style of an image can be transferred on the content of another image using Facebook's PyTorch framework.
A small React Native App built for demo purpose
Universal numbers formatter converts supplied number into different local format based on provided parameters. See below list of parameters.