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Projects in Awesome Lists by ImanNoferesti

A curated list of projects in awesome lists by ImanNoferesti .

https://github.com/imannoferesti/unity_tutorial_spring_2025

This repository contains materials for the Unity & VR Development Tutorial, designed for absolute beginners with no prior experience in C# or Unity. The course covers C# fundamentals, Unity 3D basics, game development, and an introduction to VR.

beginnerfriendly csharp unity unitytutorial virtualreality vrdevelopment

Last synced: 01 Feb 2025

https://github.com/imannoferesti/tensorflow_deepdive

This repository showcases my deep learning projects and tutorials, covering topics from neural networks and transfer learning to model deployment and MLOps. Key projects include car price prediction, malaria diagnosis, human emotions detection, and image generation with GANs, all built with TensorFlow and Keras.

Last synced: 10 Feb 2025

https://github.com/imannoferesti/emotion_ai_python

Emotion and Facial Key-Point Detection Classify emotions and detect facial key-points using deep learning! This project combines CNNs and Residual Blocks to predict 15 facial key-points and categorize facial expressions into five emotions: Angry, Disgust, Sad, Happy, and Surprise.

Last synced: 10 Feb 2025

https://github.com/imannoferesti/3d_datavisualizer_vr

🚀 3D Scatter Plot Visualizer in Unity VR: Explore large datasets in 3D with dynamic point dispersion and value grouping (round, ceil, floor). Perfect for trend analysis and dense data visualization! 🎨📊

3d-scatter-plot big-data continuous-data-handling customizable-visualization data-analysis data-science-tools data-visualization dense-data-visualization discrete-data-handling exploratory-data-analysis immersive-analytics interactive-visualization overlapping-data-points trend-analysis unity value-grouping virtual-reality vr vr-data-visualization

Last synced: 10 Feb 2025

https://github.com/imannoferesti/deceleration_study_vr

This Unity-based VR simulation explores how distance and deceleration rates affect pedestrians' perception of vehicle slowing. Participants observe a virtual vehicle decelerating at various speeds and distances, with trials conducted in three environments: Air, Ground, and Road.

Last synced: 10 Feb 2025