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[Submitted on 30 Dec 2024] Authors: Yoav HaCohen, Nisan Chiprut, Benny Brazowski, Daniel Shalem, Dudu Moshe, Eitan Richardson, Eran Levin, Guy Shiran, Nir Zabari, Ori Gordon, Poriya Panet, Sapir Weissbuch, Victor Kulikov, Yaki Bitterman, Zeev Melumian, Ofir Bibi View PDF HTML (experimental) Abstract:We introduce LTX-Video, a transformer-based latent diffusion model that adopts a holistic approach
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This project is real-time visualization of a network recognizing digits from user’s input. Youtube link Interactive web demo I trained a network using MNIST dataset and parsed the weight data in python. With this data, I implemented my own custom functions that are needed to run the network in Processing including matrix multiplication function, activation

Foreword This project is inspired and reuse several parts of several other ADS-B / mode S projects amongst which: https://github.com/lyusupov/ADSB-Out https://github.com/nzkarit/ADSB-Out and https://github.com/pynstrom/adsb-out https://github.com/bistromath/gr-air-modes https://github.com/junzis/pyModeS All those repositories are published under GNU General Public License v3.0. This is also the license chosen for this repository. Please let me know if you have issues or require…