Book a Demo!
CoCalc Logo Icon
StoreFeaturesDocsShareSupportNewsAboutPoliciesSign UpSign In
labmlai
GitHub Repository: labmlai/annotated_deep_learning_paper_implementations
Path: blob/master/setup.py
1689 views
1
import setuptools
2
3
with open("readme.md", "r", encoding="utf-8") as f:
4
long_description = f.read()
5
6
setuptools.setup(
7
name='labml_nn',
8
version='0.5.1',
9
author="Varuna Jayasiri, Nipun Wijerathne",
10
author_email="[email protected], [email protected]",
11
description="🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, diffusion, etc. 🧠",
12
long_description=long_description,
13
long_description_content_type="text/markdown",
14
url="https://github.com/labmlai/annotated_deep_learning_paper_implementations",
15
project_urls={
16
'Documentation': 'https://nn.labml.ai'
17
},
18
packages=setuptools.find_packages(exclude=('labml', 'labml.*',
19
'labml_samples', 'labml_samples.*',
20
'labml_helpers', 'labml_helpers.*',
21
'test',
22
'test.*')),
23
install_requires=['labml',
24
'torch',
25
'torchtext',
26
'torchvision',
27
'einops',
28
'numpy',
29
'fairscale'],
30
classifiers=[
31
"Programming Language :: Python :: 3",
32
"License :: OSI Approved :: MIT License",
33
'Intended Audience :: Developers',
34
'Intended Audience :: Science/Research',
35
'Topic :: Scientific/Engineering',
36
'Topic :: Scientific/Engineering :: Mathematics',
37
'Topic :: Scientific/Engineering :: Artificial Intelligence',
38
'Topic :: Software Development',
39
'Topic :: Software Development :: Libraries',
40
'Topic :: Software Development :: Libraries :: Python Modules',
41
],
42
keywords='machine learning',
43
)
44
45