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shaz-5's Projects

apprenticeship-irl icon apprenticeship-irl

This repository contains Q-Learning and Deep Q-Learning (DQN) implementations for apprenticeship learning, based on the paper “Apprenticeship Learning via Inverse Reinforcement Learning" by P. Abbeel and A. Y. Ng, applied to two classic control tasks: CartPole and Pendulum.

computer-vision-deep-learning icon computer-vision-deep-learning

Contains Python computer vision examples using OpenCV, MediaPipe, and Keras. Covers fundamentals, advanced techniques, and applications (color detection, hand detection, number plate detection). The repository also features a deep learning binary image classifier for Indian actors Mammooty and Mohanlal using Convolutional Neural Networks (CNNs).

data-science-ml-basics icon data-science-ml-basics

A beginner-friendly introduction to data science and machine learning using Python with libraries like numpy, pandas, and sci-kit learn. The repository includes jupyter notebooks covering python basics, array operations, data visualization, preprocessing, classification, clustering, etc. It also contains implementation of a simple neural network.

data-structures-and-algorithms-c icon data-structures-and-algorithms-c

A collection of C programs implementing various data structures and algorithms, including binary trees, linked lists, queues, stacks, hashing, and more.

fakebert icon fakebert

This repository uses various machine learning models and deep learning models to classify fake news.

hemo-detect icon hemo-detect

Develop machine learning models that detect diseases from blood test data. Utilizing machine learning, it analyzes patterns and predicts potential health conditions, offering users early insights for proactive care.

irl icon irl

This repository contains implementations of Inverse Reinforcement Learning (IRL) algorithms based on the paper "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000)

manipulator-inverse-rl icon manipulator-inverse-rl

This repository contains implementations of the DDPG and TD3 algorithms along with HER to train the PandaReach-v3 agent and then use the projection-based IRL algorithm to train apprentice agents using the trained agent as the expert.

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