TensorLy is a Python library that aims at making tensor learning simple and accessible. It allows to easily perform tensor decomposition, tensor learning and tensor algebra. Its backend system allows to seamlessly perform computation with NumPy, PyTorch, JAX, TensorFlow, CuPy or Paddle, and run methods at scale on CPU or GPU.
Features
- Open Source, BSD Licensed
- Pure Python, Tested & Optimized
- Flexible Backends for: NumPy, PyTorch, TensorFlow, JAX, Apache MXNet and CuPy
- Thorough Documentation
- Minimal Dependencies
- Tensorized Deep Learning with TensorLy-Torch
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow TensorLy
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