GITHUB . COM {
}
Detected CMS Systems:
- Wordpress (2 occurrences)
Title:
physicsnemo/examples/healthcare/brain_anomaly_detection at main · NVIDIA/physicsnemo · GitHub
Description:
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods - physicsnemo/examples/healthcare/brain_anomaly_detection at main · NVIDIA/physicsnemo
Website Age:
17 years and 8 months (reg. 2007-10-09).
Matching Content Categories {📚}
- Education
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Github.com relies on WORDPRESS.
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🚀🌠 Tremendous Traffic: 10M - 20M visitors per month
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We've located a dedicated page on github.com that might include details about subscription plans or recurring payments. We identified it based on the word pricing in one of its internal links. Below, you'll find additional estimates for its monthly recurring revenues.How Much Does Github.com Make? {💰}
Subscription Packages {💳}
Prices on github.com are in US Dollars ($).
They range from $4.00/month to $21.00/month.
We estimate that the site has approximately 4,989,889 paying customers.
The estimated monthly recurring revenue (MRR) is $20,957,532.
The estimated annual recurring revenues (ARR) are $251,490,385.
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Keywords {🔍}
model, fno, brain, acoustic, anomaly, wavefield, trained, operator, imaging, timesteps, velocity, readmemd, detection, propagator, surrogate, dataset, trainfnopy, fourier, neural, data, gradient, python, physicsnemo, invertpy, requirementstxt, commit, simulated, misfit, computation, rapid, wave, training, initial, output, run, sign, nvidia, actions, files, brainanomalydetection, conf, markdownlintyaml, directory, history, utilize, medical, design, wavefields, transform, method,
Topics {✒️}
multi-gpu run command nvidia physicsnemo team seismic imaging techniques acoustic wave propagator fourier neural operator md physicsnemo test brain imaging method pre-commit-config simulated wavefield overlaid acoustic wavefield set md security initial velocity model trained surrogate operator patients typically receive imperial college london high-resolution scans leveraging automatic differentiation medical imaging broader human trials longer processing time rapid stroke detection txt makefile readme md dockerfile faq brain anomaly detection gradient computation process 3d fno implementation transform data misfit load starting dataset fno model takes output wavefield overlaid 2d velocity full dataset files imaging equipment velocity model conf surrogate fno commit message human brain acoustic waves method offers trained operator yaml readme gradient computation initial 20 timesteps anomaly detection providing rapid potentially enables trained model update model
Payment Methods {📊}
- Braintree
External Links {🔗}(4)
Analytics and Tracking {📊}
- Site Verification - Google
Libraries {📚}
- Clipboard.js
- D3.js
- Foundation
- Lodash
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