Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Perform flexible operations on data arrays in Python for clearer and more reliable code.
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Free · no card · unsubscribe anytimeFlexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
einops has 9.5k stars on GitHub. It has been forked 400 times. einops is written mainly in Python. It has been in active development since 2018. einops is available under the MIT license. Its main topics are cupy, deep-learning, einops, jax.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
einops is an open-source project. It is released under the MIT license.
Yes. einops is free and open source — you can use, modify and self-host it.
einops is available under the MIT license.
einops is written mainly in Python.
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