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GaussianDenoisingPosterior
GaussianDenoisingPosterior PublicWe derive a fundamental property of the posterior distribution in Gaussian denoising, and use it to propose a new way for uncertainty visualization, which requires no training or fine-tuning.
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ee046746-computer-vision
ee046746-computer-vision PublicForked from taldatech/ee046746-computer-vision
Jupyter Notecbook tutorials for the Technion's EE Computer Vision course
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Generative-deep-features
Generative-deep-features PublicStudents Project at the Technion for generating natural looking images from a single image, using deep features of VGG19 and a hierarchical architecture based on SinGAN
Python 2
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CycleTransformer
CycleTransformer PublicFinal assignment in the NLP course at the Technion (IEM097215). In this assignment we propose a novel architecture to handle both Text-to-Image translation and Image-to-Text translation tasks on pa…
Python 2
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Scene-Understanding-Based-on-Text-Extraction
Scene-Understanding-Based-on-Text-Extraction PublicAn algorithm (and a wrapping system) for finding the geographic location of a set of given photos based on extracting and analyzing text in the images.
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