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Nphysicsnemo
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
DDeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Popularity
Repository stars3,41243,283Highest
7-day net stars——
Fork8295,060Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-11-022026-11-02
Maintenance notesNot verifiedNot verified
Repository created2023-01-262020-01-23
License & use
LicenseApache-2.0 · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysisData analysis
TypeFrameworks & SDKsFrameworks & SDKs
SubcategoryData science & machine learningData science & machine learning
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonPython
About this projectOpen-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methodsDeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Measured at2026-11-03 09:41 UTC2026-11-02 19:02 UTC
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