Addalin
I am a Ph.D. student & my research interests include computer-vision algorithms for inverse problems, computational imaging, and statistical learning.
Viterbi Faculty of Electrical & Computer Engineering, The Technion - Israel Institute of Technology
Pinned Repositories
addalin.github.io
Adi Vainiger's page
cameranetwork
Software for remote sensing camera networks
cameranetwork_notebooks
Deep-Learning-Boot-Camp
A community run, 5-day PyTorch Deep Learning Bootcamp
ee046746-computer-vision
Jupyter Notecbook tutorials for the Technion's EE Computer Vision course
git-filter-repo
Quickly rewrite git repository history (filter-branch replacement)
mitsuba2
Mitsuba 2: A Retargetable Forward and Inverse Renderer
pyALiDAn
A python implementation of the Atmospheric Lidar Data Augmentation (ALiDAn) framework and a learning pipeline utilizing both ALiDAn's and raw data.
pytorch-Deep-Learning
Deep Learning (with PyTorch)
Unerwater_Mitsuba_Rendering
A framework for physics-based rendering of underwater images using Mitsuba 0.6 This work is part of simulation work done in[1]. [1] Adi Vainiger, Yoav Y. Schechner, Tali Treibitz, Aviad Avni, and David S. Timor, "Optical wide-field tomography of sediment resuspension," Opt. Express 27, A766-A778 (2019) https://opg.optica.org/oe/abstract.cfm?uri=o
Addalin's Repositories
Addalin/pyALiDAn
A python implementation of the Atmospheric Lidar Data Augmentation (ALiDAn) framework and a learning pipeline utilizing both ALiDAn's and raw data.
Addalin/cameranetwork
Software for remote sensing camera networks
Addalin/addalin.github.io
Adi Vainiger's page
Addalin/cameranetwork_notebooks
Addalin/Deep-Learning-Boot-Camp
A community run, 5-day PyTorch Deep Learning Bootcamp
Addalin/ee046746-computer-vision
Jupyter Notecbook tutorials for the Technion's EE Computer Vision course
Addalin/git-filter-repo
Quickly rewrite git repository history (filter-branch replacement)
Addalin/hello-world
hello world project
Addalin/mitsuba2
Mitsuba 2: A Retargetable Forward and Inverse Renderer
Addalin/pytorch-Deep-Learning
Deep Learning (with PyTorch)
Addalin/Unerwater_Mitsuba_Rendering
A framework for physics-based rendering of underwater images using Mitsuba 0.6 This work is part of simulation work done in[1]. [1] Adi Vainiger, Yoav Y. Schechner, Tali Treibitz, Aviad Avni, and David S. Timor, "Optical wide-field tomography of sediment resuspension," Opt. Express 27, A766-A778 (2019) https://opg.optica.org/oe/abstract.cfm?uri=o
Addalin/homework1
Addalin/homework2
homework2 - oop 046271
Addalin/machine-learning-with-scikit-learn-live-training
Live Training Session: Machine Learning with Scikit Learn
Addalin/My_Projects
All sorts of data science & computer science programs for future reference
Addalin/OOP_046271
Addalin/time-series-analysis-in-python-live-training
Live Training Session: Time Series Analysis in Python
Addalin/WSISEG-Database