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Kfac

An implementation of KFAC for TensorFlow

Install / Use

/learn @tensorflow/Kfac
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

K-FAC: Kronecker-Factored Approximate Curvature

Travis

K-FAC in TensorFlow is an implementation of K-FAC, an approximate second-order optimization method, in TensorFlow.

Installation

kfac is compatible with Python 2 and 3 and can be installed directly via pip,

# Assumes tensorflow or tensorflow-gpu installed
$ pip install kfac

# Installs with tensorflow-gpu requirement
$ pip install 'kfac[tensorflow_gpu]'

# Installs with tensorflow (cpu) requirement
$ pip install 'kfac[tensorflow]'

KFAC DOCS

Please check KFAC docs for a detailed description with examples of how to use KFAC. Check the Keras KFAC docs for information on using KFAC with Keras.

View on GitHub
GitHub Stars199
CategoryDevelopment
Updated2mo ago
Forks41

Languages

Python

Security Score

95/100

Audited on Jan 4, 2026

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