  Tensor Train decomposition is used across many branches of machine learning.
We present T3F -- a library for Tensor Train decomposition based on TensorFlow.
T3F supports GPU execution, batch processing, automatic differentiation, and
versatile functionality for the Riemannian optimization framework, which takes
into account the underlying manifold structure to construct efficient
optimization methods. The library makes it easier to implement machine learning
papers that rely on the Tensor Train decomposition. T3F includes documentation,
examples and 94% test coverage.
