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arogozhnikov committed Nov 8, 2018
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9 changes: 4 additions & 5 deletions README.md
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# einops [![Build Status](https://travis-ci.org/arogozhnikov/einops.svg?branch=master)](https://travis-ci.org/arogozhnikov/einops)

A new flavour of deep learning operations for numpy, pytorch, tensorflow, chainer, gluon, and [others](#supported-frameworks).

`einops` introduces a new way to manipulate tensors,
providing safer, more readable and semantically richer code. See examples:
Flexible and powerful tensor operations for readable and reliable code.
Supports numpy, pytorch, tensorflow, and [others](#supported-frameworks).
Examples:

<a href='http://arogozhnikov.github.io/images/einops/einops_video.mp4' >
<div align="center">
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- [Naming](#Naming-and-terminology)
- [Why using einops](#Why-using-einops-notation)
- [Contributing](#Contributing)
- [github repository](https://github.com/arogozhnikov/einops)
- [Github repository (for issues/questions)](https://github.com/arogozhnikov/einops)


## Tutorial / Documentation
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2 changes: 1 addition & 1 deletion docs/1-einops-basics.ipynb
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}
],
"source": [
"# reduce average in each image individually\n",
"# compute max in each image individually, then show a difference \n",
"x = reduce(ims, 'b h w c -> b () () c', 'max') - ims\n",
"rearrange(x, 'b h w c -> h (b w) c')"
]
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