Background in Statistical Applied Mathematics with interests in optimisation, machine learning, generative models, and computer vision.
Highlights
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diffusion-inverse-problems
diffusion-inverse-problems PublicDiffusion-based image restoration & inverse problems; implementations of DiffPIR, DPS, RePaint, DDRM for inpainting, CT, and deblurring.
Jupyter Notebook 3
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LearnedRegularizers
LearnedRegularizers PublicForked from johertrich/LearnedRegularizers
Learning Regularization Functionals for Inverse Problems: A Comparative Study
Python
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deepinv/deepinv
deepinv/deepinv PublicDeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
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