leorrose's Stars
roboflow/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
iryna-kondr/scikit-llm
Seamlessly integrate LLMs into scikit-learn.
louisfb01/best_AI_papers_2022
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
fbdesignpro/sweetviz
Visualize and compare datasets, target values and associations, with one line of code.
louisfb01/best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
chardet/chardet
Python character encoding detector
SE-ML/awesome-seml
A curated list of articles that cover the software engineering best practices for building machine learning applications.
lgienapp/aquarel
Styling matplotlib made easy
OmicsML/awesome-deep-learning-single-cell-papers
GeostatsGuy/Resources
Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz
computational-cell-analytics/micro-sam
Segment Anything for Microscopy
crazyhottommy/awesome_spatial_omics
tools and notes for spatial omics
louisfb01/best_AI_papers_2023
A curated list of the latest breakthroughs in AI (in 2023) by release date with a clear video explanation, link to a more in-depth article, and code.
dask/dask-image
Distributed image processing
EIDOSLAB/torchstain
Stain normalization tools for histological analysis and computational pathology
NHPatterson/wsireg
multimodal whole slide image registration in a graph structure
BodenmillerGroup/steinbock
A toolkit for processing multiplexed tissue images
MarkZaidi/QuASI
List of QuPath scripts for alignment and stain deconvolution of whole-slide histology images
dlmbl/DL-MBL-2024
BodenmillerGroup/readimc
Python package for reading imaging mass cytometry (IMC) files
zaritskylab/DISCOVER
Visual interpretability of image-based classification models by generative latent space disentanglement
MeDS-Medical-Data-Science-Israel/Research_Labs_Medical_Data_Science_Israel
zaritskylab/Intracellular_Information_Processing
Spatiotemporal analysis of F-actin polymerization with micropillar arrays reveals synchronization between adhesion sites
zaritskylab/IRM-Spreading-Dynamics
A custom pipeline for quantifying the spatiotemporal dynamics of platelet spreading process under IRM microscopy.
zaritskylab/multiplexed-imaging-motifs-visualiser
Motif Visualizer for Multiplexed Imaging
zaritskylab/muscle-formation-prediction
Machine learning inference of continuous single-cell state transitions during myoblast differentiation and fusion
zaritskylab/MyocytesFusionSimulationsGeneratorAnalyzer
OOP implementations of fusion policies, and simulations analysis compared to experimental data
zaritskylab/PropagationOfCellDeath
Ferroptosis occurs through an osmotic mechanism and propagates independently of cell rupture
zaritskylab/recurring-transient-communities
Detection of transient communities and hotspots in the developing Drosophila lymph gland, using ARCOS framework on Ca2+ readouts
zaritskylab/SpatiotemproalQuantificationMonolayerCellMigrationPipeline
A Matlab pipeline for spatiotemporal quantification of monolayer cell migration. The repository includes Matlab source code. This repository is part of the book series "Neubias Bioimage Analysis". The analysis pipeline includes segmentation, velocity measurements, kymographs and multi-dimensional representations and PCA of wound healing assays.