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README.md 2024-11-11 2.6 kB
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This latest release brings several improvements, new features, and update our Python support to 3.9 to 3.13.

New Paddle backend

PaddlePaddle is a deep learning framework similar to PyTorch (both in terms of functionality and API design). Users can leverage dynamic graph mode for algorithm development, and then utilize Paddle's provided tools for model exporting, model compression, and inference libraries. Paddle deeply integrates with inference libraries like ONNX and TensorRT. Thanks to @HydrogenSulfate , https://github.com/tensorly/tensorly/pull/565

Package reorganization

We now have a solvers submodule that contains all our optimization-related code, thanks to @cohenjer, https://github.com/tensorly/tensorly/pull/550.

Algorithmic improvements

The CP regression now supports multi-dimensional output thanks to @merajhashemi in https://github.com/tensorly/tensorly/pull/252.

Quality of life improvements and other changes

Documentation improvements, unit-tests have been improved and made more reliable, and small improvements have been made to several of our algorithms.

Many thanks to the whole TensorLy team and all contributors @aarmey @cohenjer @yngvem @JeanKossaifi @merajhashemi, and our new contributors @HydrogenSulfate and @characat0.

Source: README.md, updated 2024-11-11