NICALab/SUPPORT

Accurate denoising of voltage imaging data through statistically unbiased prediction, Nature Methods.

/ 100

Emerging

100 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 2 / 25

Adoption 9 / 25

Maturity 16 / 25

Community 19 / 25

Stars

100

Forks

Language

Python

License

GPL-3.0

Category

Last pushed

Aug 11, 2025

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/NICALab/SUPPORT"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

CAREamics/careamics

A deep-learning library for denoising images using Noise2Void and friends (CARE, PN2V, HDN...

yu4u/noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration...

rgeirhos/texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased...

jaewon-lee-b/lte

Local Texture Estimator for Implicit Representation Function, in CVPR 2022

cabooster/DeepCAD-RT

DeepCAD-RT: Real-time denoising of fluorescence time-lapse imaging using deep self-supervised learning