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NVIDIA / TransformerEngine
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
scikit-learn / scikit-learn
Machine-learning algorithms and modeling tools for Python.
Popularity
Repository stars3,60168,075Highest
Fork88927,642Highest
Maintenance
Last push2026-11-062026-11-06
Maintenance notesNot verifiedUnknown
Repository created2022-09-202010-08-17
License & use
LicenseApache-2.0 · PermissiveBSD-3-Clause · 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
First collected2026-11-032026-11-02
LanguagePythonPython
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Measured at 2026-11-06 UTC