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Seongbin Lim's Projects

anomalib icon anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

biapy icon biapy

Deep Learning based pipelines for bioimage data analysis

cellpose-napari icon cellpose-napari

napari plugin for cellpose (see www.cellpose.org) - an anatomical segmentation tool

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dmenu icon dmenu

Custom dmenu, mainly for enabling color emoji and ibus input

doctr icon doctr

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

hyprland-wiki icon hyprland-wiki

The Hyprland Wiki Pages, automatically synced with the website.

lf icon lf

Terminal file manager

moco icon moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

napari icon napari

napari: a fast, interactive, multi-dimensional image viewer for python

ome-zarr-py icon ome-zarr-py

Experimental implementation of next-generation file format (NGFF) specifications for storing bioimaging data in the cloud.

seaborn icon seaborn

Statistical data visualization using matplotlib

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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