Popular GitHub Repositories for Exercise

Solutions of Reinforcement Learning, An Introduction

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

AI projects

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

Using Machine Learning to predict the type of exercise from movement data

Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.

(Phased out) A series of challenges for practicing your Machine Learning and Deep Learning skills

AI Exercise Rep Counter based on Google's Human Pose Estimation Library (Posenet)

Implementation of key concepts of neuralnetwork via numpy

This repo contains the projects made for the course of Jose Portilla on Udemy.

Solutions to the exercises in 30-days-of-python repo | Python Coding Exercises Solutions | Python exercise repository | Python Solutions | Python Learning | Python Practice Exercises and Solutions

A Flutter app that utilises TensorFlow's MoveNet model for pose detection, in order to count a user's reps and detect the correctness of their pose, with additional modules for BMI calculation and nutrition.

This smart assistant uses advanced Multi-Agent AI systems, leveraging over 10+ agents working asynchronously to perform 20+ tasks. From disease research to personalized diet and exercise plans, as well as doctor consultations and patient journeys, it brings all essential healthcare services into a single platform.

Exercise files for Python SciKit Learn Machine Learning Training

A focused resource for mastering React.js, featuring practice problems, code examples, and interview-oriented concepts like hooks, state management, and component design. Includes tutorials and exercises to build confidence for technical interviews in web development.

Personal solutions to the exercises in Tom Leinster’s “Basic Category Theory”.

This repositry is for AI beginers to learn Diffusion model from code scratch.

Exercise of Introdcution to Lite tensorflow: Linear Regression

A Voice User Interface tool for Text-to-Speech and Speech-to-Text, built with Python and Django Framework, to solve the proposed exercise in "Cognitive Computing 2: Voice User Interface" discipline.

Basic GANs with variety of loss functions as an exercise for my Thesis with Prof. Randy Paffenroth. KL, Reverse-KL, JS and Wasserstein GAN.