model-based

AI4DI - Artificial Intelligence of Digitising Industry: Tool environment to execute and validate ASP diagnose models based on the theorem solver CLINGO 5.4.1.

This is the code repository for my thesis

A Model-based Agent, for chinese speech recognize.

Segmentation of France using time series

I built recommender systems for recommending products to user using Model-based recommendation system.

This is a responsive. mobile-first, implementation written in Angular, Typescript, Bootstrap, CSS and HTML. It uses Lazy Loading, Redux, Re-usable components, model-based component. It has more tabs and it simulates the navigation of a simple website by having "home" and "contact us". You can create, delete, edit and filter your hero lis

Metrics and a harness to decide whether a learned world model's rollout can be trusted, and for how many steps: long-horizon drift, linear-vs-exponential consistency, physics-plausibility checks, uncertainty calibration, and a sim-to-real trust horizon against a task tolerance. Runs on toy or supplied rollouts, numpy only.

in this section will be matrix factorizarion based recommender on movies and ratings dataset

Layout manager for react applications

User Interface Editors for Model-Based Editors and Domain Specific Languages (DSLs)

Final project for my model based AI class in which we use Answer Set Programming (clingo)

Collection of Artificial Intelligence lab work, experiments, and projects developed during my AI course. It includes implementations of AI concepts, algorithms, and practical exercises.

MAPO: Model-Aware Policy Optimization algorithm

This project involves development a DC Motor Model and Simulation in Simulink.

Simulating a futuristic package delivery service using drones.

Component-based Assumptions and Restrictions for Dataflow Specifications

Consistency-based Algorithms for Conflict Detection and Resolution

The goal of this repository is to provide a gym-compatible library to easily perform model-based Reinforcement Learning experiments using PyTorch. The library makes it easier to create learnable environments and ensembles of networks that can be used to learn the dynamics of an environment.