Algorithm-and-Toolbox
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CS-algorithms
CS-algorithms PublicReconstruction Algorithms for Compressive Sensing and Compressive Imaging
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slidingwindow
slidingwindow PublicForked from adamrehn/slidingwindow
Sliding Window library for image processing in Python
Python
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odl
odl PublicForked from odlgroup/odl
Operator Discretization Library https://odlgroup.github.io/odl/
Python
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image_deblur_code
image_deblur_code PublicForked from rgbitx/image_deblur_code
patch selection 1st
MATLAB
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vilin-numerical-optimization
vilin-numerical-optimization PublicForked from markomil/vilin-numerical-optimization
Application and framework for executing and testing numerical optimization methods. State of the art algorithms such as l-bfgs, cg_descent, Levenberg-Marquardt etc. A various line search methods: W…
MATLAB
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Dataset-Converters
Dataset-Converters PublicForked from ISSResearch/Dataset-Converters
A conversion toolset between different object detection and instance segmentation annotation formats
Python
Repositories
- patchly Public Forked from MIC-DKFZ/patchly
A grid sampler for larger-than-memory N-dimensional images
- IQA-PyTorch Public Forked from chaofengc/IQA-PyTorch
👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...
- EMPatches Public Forked from Mr-TalhaIlyas/EMPatches
Extract and Merge image patches for easy, fast and self-contained digital image processing and deep learning model training.
- Time-Series-Library Public Forked from thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
- opfunu Public Forked from thieu1995/opfunu
A collection of Benchmark functions for numerical optimization problems
- colour-demosaicing Public Forked from colour-science/colour-demosaicing
CFA (Colour Filter Array) Demosaicing Algorithms for Python
- deepinv Public Forked from deepinv/deepinv
PyTorch library for solving imaging inverse problems using deep learning
- Kalman-and-Bayesian-Filters-in-Python Public Forked from rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.