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Rename the toolbox
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‎.github/workflows/build.yml

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name: Build
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on: [push, pull_request]
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jobs:
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build:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: [3.7, 3.8]
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements_dev.txt
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python setup.py develop
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- name: Lint with black
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run: |
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black --line-length 80 --check --diff tensorflow_riemopt
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- name: Test with pytest
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run: |
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pytest -v tensorflow_riemopt --cov tensorflow_manopt
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- name: Publish to coveralls.io
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uses: coverallsapp/[email protected]
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with:
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github-token: ${{ github.token }}

‎.travis.yml

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‎README.md

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# TensorFlow ManOpt
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# TensorFlow RiemOpt
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[![PyPI version](https://img.shields.io/pypi/v/tensorflow-manopt.svg)](https://pypi.org/project/tensorflow-manopt/)
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[![DOI](https://zenodo.org/badge/298014876.svg)](https://zenodo.org/badge/latestdoi/298014876)
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[![Build Status](https://travis-ci.org/master/tensorflow-manopt.svg?branch=master)](https://travis-ci.org/master/tensorflow-manopt)
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[![Coverage Status](https://coveralls.io/repos/github/master/tensorflow-manopt/badge.svg?branch=master)](https://coveralls.io/github/master/tensorflow-manopt?branch=master)
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[![PyPI](https://img.shields.io/pypi/v/tensorflow-riemopt.svg)](https://pypi.org/project/tensorflow-riemopt/)
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[![arXiv](https://img.shields.io/badge/arXiv-2105.13921-b31b1b.svg)](https://arxiv.org/abs/2105.13921)
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[![Build Status](https://github.com/master/tensorflow-riemopt/actions/workflows/build.yml/badge.svg)](https://github.com/master/tensorflow-riemopt/actions)
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[![Coverage Status](https://coveralls.io/repos/github/master/tensorflow-riemopt/badge.svg?branch=master)](https://coveralls.io/github/master/tensorflow-riemopt?branch=master)
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[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
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[![License](https://img.shields.io/:license-mit-blue.svg)](https://badges.mit-license.org)
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To install the latest development version from GitHub:
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```bash
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pip install git+https://github.com/master/tensorflow-manopt.git
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pip install git+https://github.com/master/tensorflow-riemopt.git
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```
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To install a package from PyPI:
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```bash
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pip install tensorflow-manopt
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pip install tensorflow-riemopt
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```
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## Features
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maps, geodesics, retractions, and transports. For manifolds, where closed-form
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expressions are not available, the library provides numerical approximations.
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<img align="right" width="400" src="https://github.com/master/tensorflow-manopt/blob/master/examples/usage.png?raw=true">
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<img align="right" width="400" src="https://github.com/master/tensorflow-riemopt/blob/master/examples/usage.png?raw=true">
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```python
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S = manopt.manifolds.Sphere()
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import tensorflow_riemopt as riemopt
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S = riemopt.manifolds.Sphere()
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x = S.projx(tf.constant([0.1, -0.1, 0.1]))
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u = S.proju(x, tf.constant([1., 1., 1.]))
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## References
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If you find TensorFlow ManOpt useful in your research, please cite:
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If you find TensorFlow RiemOpt useful in your research, please cite:
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```
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@misc{smirnov2021tensorflow,
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title={TensorFlow ManOpt: a library for optimization on Riemannian manifolds},
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title={TensorFlow RiemOpt: a library for optimization on Riemannian manifolds},
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author={Oleg Smirnov},
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year={2021},
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eprint={2105.13921},
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## Acknowledgment
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TensorFlow ManOpt was inspired by many similar projects:
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TensorFlow RiemOpt was inspired by many similar projects:
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- [Manopt](https://www.manopt.org/), a matlab toolbox for optimization on manifolds
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- [Pymanopt](https://www.pymanopt.org/), a Python toolbox for optimization on manifolds

‎examples/grnet/README.md

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Implementation of GrNet [1], a deep network on Grassmann manifolds.
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<img align="center" width="800" src="https://github.com/master/tensorflow-manopt/blob/master/examples/grnet/grnet.png?raw=true">
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<img align="center" width="800" src="https://github.com/master/tensorflow-riemopt/blob/master/examples/grnet/grnet.png?raw=true">
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## Requirements
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‎examples/grnet/model.py

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import tensorflow as tf
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from tensorflow_manopt.variable import assign_to_manifold
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from tensorflow_manopt.manifolds import Grassmannian
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from tensorflow_manopt.manifolds import utils
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from tensorflow_manopt.optimizers import RiemannianSGD
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from tensorflow_riemopt.variable import assign_to_manifold
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from tensorflow_riemopt.manifolds import Grassmannian
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from tensorflow_riemopt.manifolds import utils
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from tensorflow_riemopt.optimizers import RiemannianSGD
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@tf.keras.utils.register_keras_serializable(name="FRMap")

‎examples/grnet/requirements.txt

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scipy
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tensorflow-manopt
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tensorflow-riemopt

‎examples/lienet/README.md

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Implementation of LieNet [1], a deep learning network on Lie Groups for
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skeleton-based action recognition.
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<img align="center" width="800" src="https://github.com/master/tensorflow-manopt/blob/master/examples/lienet/lienet.png?raw=true">
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<img align="center" width="800" src="https://github.com/master/tensorflow-riemopt/blob/master/examples/lienet/lienet.png?raw=true">
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## Requirements
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‎examples/lienet/model.py

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import tensorflow as tf
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from tensorflow_manopt.variable import assign_to_manifold
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from tensorflow_manopt.manifolds import SpecialOrthogonal
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from tensorflow_manopt.manifolds import utils
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from tensorflow_manopt.optimizers import RiemannianSGD
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from tensorflow_riemopt.variable import assign_to_manifold
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from tensorflow_riemopt.manifolds import SpecialOrthogonal
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from tensorflow_riemopt.manifolds import utils
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from tensorflow_riemopt.optimizers import RiemannianSGD
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EPS = 1e-7

‎examples/lienet/requirements.txt

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scipy
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tensorflow-manopt
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tensorflow-riemopt

‎examples/spdnet/README.md

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Implementation of SPDNet [1], a Riemannian network for SPD matrix learning.
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<img align="center" width="800" src="https://github.com/master/tensorflow-manopt/blob/master/examples/spdnet/spdnet.png?raw=true">
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<img align="center" width="800" src="https://github.com/master/tensorflow-riemopt/blob/master/examples/spdnet/spdnet.png?raw=true">
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## Requirements
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