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advititya-24_server

aeromodelling-iitropar-portal

backend_auth

My backend web project is built using JavaScript and EJS, and it is designed to provide students with access to exam notes. Students can post a Google Drive link to their notes, and the notes can then be accessed by other students from a global page.

deep_learning

This repository contains my implementations and experiments in deep learning, a subfield of machine learning that focuses on training neural networks to learn from complex data representations. It showcases my exploration of various deep learning models, architectures, and applications

esrgan

everynote

EveryNote

everynoteproject

function-approximation

lhc-be

lhc-fe

neural_net

A neural network is a type of machine learning algorithm that is modeled after the structure and function of the human brain. It is a network of interconnected nodes, called neurons, that process information and make predictions based on input data.

numpy

The fundamental package for scientific computing with Python.

pegasis

Object Detection with Depth Estimation

portfolio

My portfolio

proximal-policy-optimization

Proximal Policy Optimization, or PPO, is a policy gradient method for reinforcement learning. The motivation was to have an algorithm with the data efficiency and reliable performance of TRPO

px4-autopilot

PX4 Autopilot Software

risc-v-assembler

rl-drone

solar_tracker

Solar tracker is a device designed to increase the efficiency of solar energy harvesting by tracking the sun's movement throughout the day. It is typically composed of two servo motors, an Arduino microcontroller, and LDR (Light Dependent Resistor) sensors.

stocksage-stock_price_predictor

word-image-segmenter

Image segmentation is a crucial step in enabling artificial intelligence systems to accurately analyze and interpret visual data, and it has numerous applications in a variety of fields, including handwriting recognition, medical imaging, and autonomous vehicles.