apsk14
PhD student at UC Berkeley supervised by Prof. Laura Waller. I study computational imaging with speciality in aberration correction and statistical imaging.
University of California, BerkeleyBerkeley, CA
Pinned Repositories
event_based_gaze_tracking
Dataset release for Event-Based, Near-Eye Gaze Tracking Beyond 10,000 Hz
im2im-uq
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
apsk14.github.io
figtree
Fast computation of Gauss transforms in multiple dimensions; enables efficient Kernel Density Estimation (KDE) with Gaussian kernels.
Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
rdmpy
Official implementation of Ring Deconvolution Microscopy from https://arxiv.org/abs/2206.08928
semantic_scene_representations
Official Pytorch implementation of Semantic Implicit Neural Scene Representations with Semi-Supervised Training
semantic_scenes_dataset
Official dataset for Semantic Implicit Neural Scene Representations With Semi-Supervised Training.
website
A beautiful, simple, clean, and responsive Jekyll theme for academics
apsk14's Repositories
apsk14/rdmpy
Official implementation of Ring Deconvolution Microscopy from https://arxiv.org/abs/2206.08928
apsk14/semantic_scene_representations
Official Pytorch implementation of Semantic Implicit Neural Scene Representations with Semi-Supervised Training
apsk14/apsk14.github.io
apsk14/figtree
Fast computation of Gauss transforms in multiple dimensions; enables efficient Kernel Density Estimation (KDE) with Gaussian kernels.
apsk14/Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
apsk14/semantic_scenes_dataset
Official dataset for Semantic Implicit Neural Scene Representations With Semi-Supervised Training.
apsk14/website
A beautiful, simple, clean, and responsive Jekyll theme for academics