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    195
  • Rank 190,982 (Top 4 %)
  • Language
    Python
  • License
    Apache License 2.0
  • Created about 6 years ago
  • Updated about 2 years ago

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Repository Details

An implementation of KFAC for TensorFlow

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.

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