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PPaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice ("Flying Paddle" core framework, deep learning & machine learning high-performance stand-alone, distributed training and cross-platform deployment)
DDeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Popularity
Repository stars24,13543,283Highest
7-day net stars——
Fork6,019Highest5,060
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-11-022026-11-02
Maintenance notesNot verifiedNot verified
Repository created2016-08-152020-01-23
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
LanguageC++Python
About this projectPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice ("Flying Paddle" core framework, deep learning & machine learning high-performance stand-alone, distributed training and cross-platform deployment)DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Measured at2026-11-02 19:02 UTC2026-11-02 19:02 UTC
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