Explore real-time object detection with IoTKITs. This project demonstrates how AI and computer vision work together to detect and recognize objects for practical IoT solutions.
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Updated
Oct 3, 2026 - Jupyter Notebook
Explore real-time object detection with IoTKITs. This project demonstrates how AI and computer vision work together to detect and recognize objects for practical IoT solutions.
A PyTorch implementation of Meta AI's I-JEPA, a self-supervised learning framework for visual representations inspired by human-like prediction.
End-to-end engineering of a V-JEPA-style video world-model trainer: data curation at scale, distributed (FSDP) training, and inference optimization. From-scratch JEPA + SIGReg.
Clean implementation of I-JEPA (Image Joint Embedding Predictive Architecture)
Retrieve Steam games with similar store banners, with Meta AI's I-JEPA.
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