-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathsetup.py
43 lines (41 loc) · 1.32 KB
/
setup.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
from setuptools import setup
# Reading long description from README.md file
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="ChemSpaceAL",
packages=["ChemSpaceAL"],
version="2.0.1",
description="ChemSpaceAL Python package: an efficient active learning methodology applied to protein-specific molecular generation",
long_description=long_description,
long_description_content_type="text/markdown",
author="Gregory W. Kyro, Anton Morgunov & Rafael I. Brent",
author_email="gregory.kyro@yale.edu",
url="https://github.com/batistagroup/ChemSpaceAL",
download_url="https://github.com/gregory-kyro/ChemSpaceAL/archive/refs/tags/v1.0.3.tar.gz",
keywords=[
"active learning",
"artificial intelligence",
"deep learning",
"machine learning",
"molecular generation",
"drug discovery",
],
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
install_requires=[
"prolif==2.0.1",
"pandas==1.5.3",
"numpy==1.23.1",
"rdkit==2023.03.3",
"torch==2.1.0",
"PyYAML",
"scikit_learn",
"tqdm",
"wandb"
],
python_requires=">=3.10",
)