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Universiteit Gent
- Ghent, Belgium
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02:41
(UTC +02:00) - benjamin.rombaut.dev
Stars
Formalizing and benchmarking open problems in single-cell genomics
Creating figures and animations for multi-channel images with a focus on microscopy.
π Adaptive: parallel active learning of mathematical functions
Workshop repository for napari tutorial at DL@MBL 2024
A deep-learning based multi-modal data integration suite that aims to achieve synesis in a flexible manner
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 thβ¦
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Reimagine state management with CRDTs. Make your app collaborative effortlessly.
Python and R SOMA APIs using TileDBβs cloud-native format. Ideal for single-cell data at any scale.
Cell type annotation with local Large Language Models (LLMs) - Ensuring privacy and speed with extensive customized reports
Quadra: Effortless and reproducible deep learning workflows with configuration files.
Image reading, metadata management, and image writing for Microscopy images in Python
Simple creation of data classes from dictionaries.
py.test fixture for benchmarking code
an SRT simulator for simulating multiple spatial variability in spatial resolved transcriptomics and generating unbiased simulated SRT data
Read in Xenium, CosMx, Vizgen, STARmap PLUS, seqFISH data as Spatial or SingleCell Experiment object.
Towards a general-purpose foundation model for computational pathology - Nature Medicine
Techniques for deep learning with satellite & aerial imagery