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A Python-based command-line application for basic post-processing of pollen detection images using Segment Anything Model 2 (SAM 2).
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A Python-based command-line application for detecting pollen grains from image stacks.
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Python package for reading DICOM WSI file sets.
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a Mirador 3 plugin that adds image manipulation tools to the user interface
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a Mirador 3 plugin that adds annotation creation tools to the user interface
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Elevator is a multi-instance digital asset repository.
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Collection of tools developed and maintained by Pfaff Lab
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A Python-based command-line application for converting Hamamatsu NanoZoomer Digital Pathology Image (NDPI) format images into cropped tile images.
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👀 Segment Anything 2 + Docker 🐳
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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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Generates a shell script that allows one to download the extracted features files for a given set of volume ids.
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Extracts features (token counts, POS tags, etc.) from a list of HT volumes, to aid in non-consumptive research.
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Clowder v2 (in development)
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Source code repository of "Safer Illinois" App - the official COVID-19 app of the University of Illinois.
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Source code repository of "Illinois" App - the official mobile app of the University of Illinois.
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Torchlite web interface
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Backend API service for Torchlite web dashboard
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Implementation of a quantum simulator using APL
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[DEPRECATED prototype] Multimodal Access and Interactive Data Representation
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Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
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Bring your code to the conversations you care about with GitHub's integration for Slack
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Model API for GALACTICA
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Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
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Kathy's Codes for Accessing and Processing SubX Data from the IRI Data Library
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Automated Recognition and Counting of Pollen Grain Species from Field Samples
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Receipt parser application written in dart.
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Receipt OCR using CURL, JavaScript/Node.Js, Java, C# VB.NET, PHP, Python, etc
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Open Source Computer Vision Library