rassu-123 Goto Github PK
Name: RASHI GUPTA
Type: User
Bio: Studies Mechanical Engineering at IIT Kanpur
Location: Kanpur
RASHI GUPTA's Projects
abinbev-hackathon_recommender-system
arduino-projects
A collection of Arduino projects
axiom-remote
A device to control AXIOM cameras.
bags
Boxfish Automatic Grading System("BAGS: An automatic homework grading system using the pictures taken by smart phones")
bitcoin-summer-of-code-challenge
chaos-equations
Simple mathematical art
clusterduck-protocol
Firmware for an ad-hoc mesh network of Internet-of-Things devices based on LoRa (Long Range radio) that can be deployed quickly and cheaply.
codeforces
These are the source codes of the algorithmic challenges solved by me over various contests on Codeforces.com
coding-interview-university
A complete computer science study plan to become a software engineer.
crabnet
Predict materials properties using only the composition information!
data-finance-react-tailwind
demo-codes
Demo Codes for CS253A Course
dsa_code
eth_swap
Instant Cryptocurrency Exchange Tutorial
ethereum-projects-for-beginners
Ethereum Projects for Beginners, published by Packt
face-x
Demonstration of different algorithms and operations on faces . Join Discord channel for discussion.
facial-recognition-door-lock
Only allow specific people to come into your room
first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
getx_examples
gfpgan
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
gsoc-application
handwritten-digit-recognition
handwritten-equation-solver
An Handwritten equation solver using CNN
handwritten-mathematical-equation-evaluator
invisibility_cloak
Invisibility cloak is an implementation of Colour Detection and Segmention using OpenCV library, wherein the program identifies red coloured cloth in the foreground, and replaces it with the background pixels
like_prediction_model
login_signup-frontend-
markowitz-
mnist-digit.recognizer-cnns
Implementation of CNN to recognize hand written digits (MNIST) running for 10 epochs. Accuracy: 98.99%
nd189-1-introduction-to-machine-learning-project-starter
project started for GIT for nd189- course #1
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