Exemple #1
0
#!/usr/bin/env python

from setuptools import (
    setup as install,
    find_packages,
)

VERSION = '0.1.0'

install(
    name='hierarchical_envs',
    version=VERSION,
    description="Hierarchical Environments for RL",
    long_description=open('README.md').read(),
    author='Liyu Chen',
    author_email='na',
    url='http://github.com/lchenat',
    download_url='',
    license='License :: OSI Approved :: Apache Software License',
    packages=find_packages(exclude=["tests"]),
    classifiers=[]
)
Exemple #2
0
#!/usr/bin/env python

from setuptools import (
    setup as install,
    find_packages,
)

VERSION = '0.1.0'

install(
    name='lstms',
    packages=['lstms'],
    version=VERSION,
    description='Custom implementation of LSTM variations',
    author='Seb Arnold',
    author_email='*****@*****.**',
    url='https://github.com/seba-1511/lstms.pth',
    download_url='https://github.com/seba-1511/lstms.pth/archive/0.1.3.zip',
    license='License :: OSI Approved :: Apache Software License',
    classifiers=[],
    scripts=[])
Exemple #3
0
install(
    name='learn2learn',
    packages=find_packages(),
    ext_modules=extensions,
    cmdclass=cmd_class,
    zip_safe=False,  # as per Cython docs
    version=VERSION,
    description='PyTorch Library for Meta-Learning Research',
    long_description=open('README.md', encoding='utf8').read(),
    long_description_content_type='text/markdown',
    author='Debajyoti Datta, Ian bunner, Seb Arnold, Praateek Mahajan',
    author_email='*****@*****.**',
    url='https://github.com/learnables/learn2learn',
    download_url='https://github.com/learnables/learn2learn/archive/' +
    str(VERSION) + '.zip',
    license='MIT',
    classifiers=[],
    scripts=[],
    setup_requires=[
        'cython>=0.28.5',
    ],
    install_requires=[
        'numpy>=1.15.4',
        'gym>=0.14.0',
        'torch>=1.1.0',
        'torchvision>=0.3.0',
        'scipy',
        'requests',
        'gsutil',
        'tqdm',
        'qpth>=0.0.15',
        #  'pytorch_lightning>=1.0.2',
    ],
)
Exemple #4
0
#!/usr/bin/env python

from setuptools import (
    setup as install,
    find_packages,
)

VERSION = '0.1.17'

install(
    name='plotify',
    version=VERSION,
    description="Make beautiful plots, fast.",
    #    long_description=open('README.md').read(),
    author='Seb Arnold',
    author_email='*****@*****.**',
    url='http://www.seba1511.com',
    download_url='https://github.com/seba-1511/plotify/archive/' +
    str(VERSION) + '.zip',
    license='License :: OSI Approved :: Apache Software License',
    packages=find_packages(exclude=["tests"]),
    classifiers=[],
    install_requires=['numpy', 'matplotlib>=3.3.0', 'Pillow', 'plotly'],
)
Exemple #5
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#!/usr/bin/env python

import os
from distutils.core import setup
from setuptools import (
    setup as install,
    find_packages,
)

VERSION = '0.1.0'

setup(name='mj_transfer', )
install(
    name='mj_transfer',
    version=VERSION,
    description=
    "Easy Transfer Learning environments for OpenAI Gym built on top of MuJoCo",
    long_description=open('README.md').read(),
    author='Elizabeth Chu, Seb Arnold',
    author_email='*****@*****.**',
    license='License :: OSI Approved :: Apache Software License',
    packages=find_packages(exclude=["tests"]),
    classifiers=[
        'Tools',
    ])
Exemple #6
0
#!/usr/bin/env python

from setuptools import (
    setup as install,
    find_packages,
)

VERSION = '0.0.1'

install(
    name='mpi4pycuda',
    packages=['mpi4pycuda'],
    version=VERSION,
    description='mpi4py wrappers to use with pyCUDA',
    author='Seb Arnold',
    author_email='*****@*****.**',
    url='https://github.com/seba-1511/mpi4pycuda',
    download_url='https://github.com/seba-1511/mpi4pyucda/archive/0.0.1.zip',
    license='License :: OSI Approved :: Apache Software License',
    classifiers=[],
)
Exemple #7
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#!/usr/bin/env python

from setuptools import (
    setup as install,
    find_packages,
)

VERSION = '0.0.1'

install(
    name='drl',
    packages=['drl'],
    version=VERSION,
    description=
    'Distributed reinforcement learning algorithms implemented in Pytorch.',
    author='Seb Arnold',
    author_email='*****@*****.**',
    url='https://github.com/seba-1511/drl.pth',
    download_url='https://github.com/seba-1511/drl/archive/0.1.3.zip',
    license='License :: OSI Approved :: Apache Software License',
    classifiers=[],
    scripts=[])
Exemple #8
0
#!/usr/bin/env python

from setuptools import (
        setup as install,
        find_packages,
        )

VERSION = '0.0.1'

install(
        name='nnexp',
        packages=['nnexp'],
        version=VERSION,
        description='Neural net experiments for beginners',
        author='Seb Arnold',
        author_email='*****@*****.**',
        url = 'https://github.com/seba-1511/nnexp',
        download_url = 'https://github.com/seba-1511/nnexp/archive/0.1.3.zip',
        license='License :: OSI Approved :: Apache Software License',
        classifiers=[],
        scripts=[
            ]
)
Exemple #9
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# Installs the package
install(
    name='learn2learn',
    packages=find_packages(),
    ext_modules=cythonize(extensions, compiler_directives=compiler_directives),
    cmdclass={'build_ext': build_ext},
    version=VERSION,
    description='PyTorch Meta-Learning Framework for Researchers',
    long_description=open('README.md').read(),
    long_description_content_type='text/markdown',
    author='Debajyoti Datta, Ian bunner, Seb Arnold, Praateek Mahajan',
    author_email='[email protected], [email protected]',
    url='https://github.com/learnables/learn2learn',
    download_url='https://github.com/learnables/learn2learn/archive/' +
    str(VERSION) + '.zip',
    license='MIT',
    classifiers=[],
    scripts=[],
    setup_requires=[
        'cython>=0.28.5',
    ],
    install_requires=[
        'numpy>=1.15.4',
        'gym>=0.14.0',
        'torch>=1.1.0',
        'torchvision>=0.3.0',
        'pandas',
        'requests',
    ],
)
Exemple #10
0
#!/usr/bin/env python

from setuptools import (
    setup as install,
    find_packages,
)

VERSION = '0.0.1'

install(
    name='bonn',
    packages=['bonn'],
    version=VERSION,
    description='Bayesian optimization for randopt',
    author='Seb Arnold',
    author_email='*****@*****.**',
    url='https://github.com/seba-1511/bonn.randopt',
    download_url='https://github.com/seba-1511/bonn.randopt/archive/0.0.1.zip',
    license='License :: OSI Approved :: Apache Software License',
    classifiers=[],
    scripts=[])