Jordão Bragantini (JoOkuma)

JoOkuma

User data from Github https://github.com/JoOkuma

Company:Chan Zuckerberg Biohub

Location:SF

Home Page:https://jookuma.github.io

GitHub:@JoOkuma

Twitter:@jobragantini


Organizations
conda-forge
czbiohub-sf
dlmbl
LIDS-UNICAMP
PyIFT
royerlab
scipy-2024-image-analysis

Jordão Bragantini's repositories

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napari

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

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scikit-image

Image processing in Python

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cellcanvas

A tool to support interactive machine learning for cryoET data

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coin-or-cbc-feedstock

A conda-smithy repository for coin-or-cbc.

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coin-or-cgl-feedstock

A conda-smithy repository for coin-or-cgl.

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coin-or-clp-feedstock

A conda-smithy repository for coin-or-clp.

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coin-or-utils-feedstock

A conda-smithy repository for coin-or-utils.

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conda-forge-pinning-feedstock

A conda-smithy repository for conda-forge-pinning.

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ete

Python package for building, comparing, annotating, manipulating and visualising trees. It provides a comprehensive API and a collection of command line tools, including utilities to work with the NCBI taxonomy tree.

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Higra

Hierarchical Graph Analysis

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human-eval-bia

Benchmarking Large Language Models for Bio-Image Analysis Code Generation

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mip-feedstock

A conda-smithy repository for mip.

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motile

Multi-Object Tracker using Integer Linear Equations

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nanobind

nanobind: tiny and efficient C++/Python bindings

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napari-convpaint

Segment images by pixel classification based on pre-trained convolutional layer feature extraction

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napari-plugin-template

A template repo used to make new napari plugins

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probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

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py-ctcmetrics

Cell Tracking metrics and tools for the CellTrackingChallenge as described in 'CHOTA: A Higher Order Accuracy Metric for Cell Tracking'

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python-mip

Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs

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scikit-learn

scikit-learn: machine learning in Python

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segment-anything-2

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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staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

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traccuracy

Utilities for computing common accuracy metrics on cell tracking challenge solutions with ground truth

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