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100-days-of-code-python-bootcamp

Hosting all the projects made during 100 Days of Code: The Complete Python Pro Bootcamp for 2022

2048-in-python-rl

Python implementation for the 2048 Game. The game learns itself by using Reinforcement Learning

automatic-charge-identification

Identifying charges from the Indian Penal Code given the textual description of the charges and facts of a criminal case

bloodglucometer

Blood Glucometer using PPG Signal captured by smartphone

deep-reinforcement-learning-with-python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

double-dqn

Deep Reinforcement Learning with Double Q-learning

emotion-aware-transformer-encoder-for-empathetic-dialogue-generation

flutterwhatsappclone

Building a WhatsApp Clone in Flutter.

foriot

ESP8266 core for Arduino

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

handwashing-detection-using-iot

hostingawebsite

mess-review-and-management-system

DBMS Project : A fully functional mess review and management system

mindwave

MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.

oatcp

Lab assignments for the course Optimization of Algorithms via Competitive Programming

optnet

OptNet: Differentiable Optimization as a Layer in Neural Networks

pacmandqn

Deep Reinforcement Learning in Pac-man

reinforcement-learning-maze

Various ways to learn a computer to escape from a maze. From random walk to a simple neural network.

skills-copilot-codespaces-vscode

My clone repository

smart-shopping-cart-system

My capstone project aiming to create a smart shopping cart system to enhance the shopping experience. This project offers a seamless shopping experience by utilizing an object detection model trained on a custom dataset, combined with a user-friendly mobile application. This repositroy contains the mobile application part of the system.