requirements.txt

#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
#    pip-compile requirements.in
#
absl-py==2.1.0
    # via
    #   keras
    #   tensorboard
    #   tensorflow
alembic==1.13.3
    # via mlflow
appnope==0.1.4
    # via ipykernel
asttokens==2.4.1
    # via stack-data
astunparse==1.6.3
    # via tensorflow
awscli==1.35.0
    # via -r requirements.in
blinker==1.8.2
    # via flask
boto3==1.35.34
    # via -r requirements.in
botocore==1.35.34
    # via
    #   awscli
    #   boto3
    #   s3transfer
cachetools==5.5.0
    # via
    #   google-auth
    #   mlflow-skinny
certifi==2024.8.30
    # via requests
charset-normalizer==3.4.0
    # via requests
click==8.1.7
    # via
    #   flask
    #   mlflow-skinny
cloudpickle==3.1.0
    # via mlflow-skinny
colorama==0.4.6
    # via awscli
comm==0.2.2
    # via ipykernel
contourpy==1.3.0
    # via matplotlib
coverage[toml]==7.6.4
    # via pytest-cov
cycler==0.12.1
    # via matplotlib
databricks-sdk==0.36.0
    # via mlflow-skinny
debugpy==1.8.7
    # via ipykernel
decorator==5.1.1
    # via ipython
deprecated==1.2.14
    # via
    #   opentelemetry-api
    #   opentelemetry-semantic-conventions
docker==7.1.0
    # via mlflow
docutils==0.16
    # via awscli
exceptiongroup==1.2.2
    # via
    #   ipython
    #   pytest
executing==2.1.0
    # via stack-data
filelock==3.16.1
    # via torch
flask==3.0.3
    # via mlflow
flatbuffers==24.3.25
    # via tensorflow
fonttools==4.54.1
    # via matplotlib
fsspec==2024.10.0
    # via torch
gast==0.6.0
    # via tensorflow
gitdb==4.0.11
    # via gitpython
gitpython==3.1.43
    # via mlflow-skinny
google-auth==2.35.0
    # via databricks-sdk
google-pasta==0.2.0
    # via tensorflow
graphene==3.4
    # via mlflow
graphql-core==3.2.5
    # via
    #   graphene
    #   graphql-relay
graphql-relay==3.2.0
    # via graphene
greenlet==3.1.1
    # via sqlalchemy
grpcio==1.67.0
    # via
    #   tensorboard
    #   tensorflow
gunicorn==23.0.0
    # via mlflow
h5py==3.12.1
    # via
    #   keras
    #   tensorflow
idna==3.10
    # via requests
importlib-metadata==8.4.0
    # via
    #   mlflow-skinny
    #   opentelemetry-api
iniconfig==2.0.0
    # via pytest
ipykernel==6.29.5
    # via -r requirements.in
ipython==8.29.0
    # via ipykernel
itsdangerous==2.2.0
    # via flask
jedi==0.19.1
    # via ipython
jinja2==3.1.4
    # via
    #   flask
    #   mlflow
    #   torch
jmespath==1.0.1
    # via
    #   -r requirements.in
    #   boto3
    #   botocore
joblib==1.4.2
    # via scikit-learn
jupyter-client==8.6.3
    # via ipykernel
jupyter-core==5.7.2
    # via
    #   ipykernel
    #   jupyter-client
keras==3.6.0
    # via tensorflow
kiwisolver==1.4.7
    # via matplotlib
libclang==18.1.1
    # via tensorflow
loguru==0.7.2
    # via -r requirements.in
mako==1.3.6
    # via alembic
markdown==3.7
    # via
    #   mlflow
    #   tensorboard
markdown-it-py==3.0.0
    # via rich
markupsafe==3.0.2
    # via
    #   jinja2
    #   mako
    #   werkzeug
matplotlib==3.9.2
    # via
    #   -r requirements.in
    #   mlflow
    #   seaborn
matplotlib-inline==0.1.7
    # via
    #   ipykernel
    #   ipython
mdurl==0.1.2
    # via markdown-it-py
ml-dtypes==0.3.2
    # via
    #   keras
    #   tensorflow
mlflow==2.17.0
    # via -r requirements.in
mlflow-skinny==2.17.0
    # via mlflow
mpmath==1.3.0
    # via sympy
namex==0.0.8
    # via keras
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.4.2
    # via torch
numpy==1.26.4
    # via
    #   -r requirements.in
    #   contourpy
    #   h5py
    #   keras
    #   matplotlib
    #   ml-dtypes
    #   mlflow
    #   opencv-python
    #   pandas
    #   pyarrow
    #   scikit-learn
    #   scipy
    #   seaborn
    #   tensorboard
    #   tensorflow
    #   torchvision
opencv-python==4.10.0.84
    # via -r requirements.in
opentelemetry-api==1.27.0
    # via
    #   mlflow-skinny
    #   opentelemetry-sdk
    #   opentelemetry-semantic-conventions
opentelemetry-sdk==1.27.0
    # via mlflow-skinny
opentelemetry-semantic-conventions==0.48b0
    # via opentelemetry-sdk
opt-einsum==3.4.0
    # via tensorflow
optree==0.13.0
    # via keras
packaging==24.1
    # via
    #   gunicorn
    #   ipykernel
    #   keras
    #   matplotlib
    #   mlflow-skinny
    #   pytest
    #   tensorflow
pandas==2.2.3
    # via
    #   -r requirements.in
    #   mlflow
    #   seaborn
parso==0.8.4
    # via jedi
pexpect==4.9.0
    # via ipython
pillow==11.0.0
    # via
    #   matplotlib
    #   torchvision
platformdirs==4.3.6
    # via jupyter-core
pluggy==1.5.0
    # via pytest
prompt-toolkit==3.0.48
    # via ipython
protobuf==4.25.5
    # via
    #   mlflow-skinny
    #   tensorboard
    #   tensorflow
psutil==6.1.0
    # via ipykernel
ptyprocess==0.7.0
    # via pexpect
pure-eval==0.2.3
    # via stack-data
pyarrow==17.0.0
    # via mlflow
pyasn1==0.6.1
    # via
    #   pyasn1-modules
    #   rsa
pyasn1-modules==0.4.1
    # via google-auth
pygments==2.18.0
    # via
    #   ipython
    #   rich
pyparsing==3.2.0
    # via matplotlib
pytest==8.3.3
    # via
    #   -r requirements.in
    #   pytest-cov
pytest-cov==5.0.0
    # via -r requirements.in
python-dateutil==2.9.0.post0
    # via
    #   -r requirements.in
    #   botocore
    #   jupyter-client
    #   matplotlib
    #   pandas
pytz==2024.2
    # via pandas
pyyaml==6.0.2
    # via
    #   awscli
    #   mlflow-skinny
pyzmq==26.2.0
    # via
    #   ipykernel
    #   jupyter-client
requests==2.32.3
    # via
    #   databricks-sdk
    #   docker
    #   mlflow-skinny
    #   tensorflow
rich==13.9.3
    # via keras
rsa==4.7.2
    # via
    #   awscli
    #   google-auth
s3transfer==0.10.2
    # via
    #   -r requirements.in
    #   awscli
    #   boto3
scikit-learn==1.5.2
    # via
    #   -r requirements.in
    #   mlflow
scipy==1.14.1
    # via
    #   mlflow
    #   scikit-learn
seaborn==0.13.2
    # via -r requirements.in
six==1.16.0
    # via
    #   -r requirements.in
    #   asttokens
    #   astunparse
    #   google-pasta
    #   python-dateutil
    #   tensorboard
    #   tensorflow
smmap==5.0.1
    # via gitdb
sqlalchemy==2.0.36
    # via
    #   alembic
    #   mlflow
sqlparse==0.5.1
    # via mlflow-skinny
stack-data==0.6.3
    # via ipython
sympy==1.13.3
    # via torch
tensorboard==2.16.2
    # via tensorflow
tensorboard-data-server==0.7.2
    # via tensorboard
tensorflow==2.16.2
    # via -r requirements.in
tensorflow-io-gcs-filesystem==0.37.1
    # via tensorflow
termcolor==2.5.0
    # via tensorflow
threadpoolctl==3.5.0
    # via scikit-learn
tomli==2.0.2
    # via
    #   coverage
    #   pytest
torch==2.2.2
    # via
    #   -r requirements.in
    #   torchvision
torchvision==0.17.2
    # via -r requirements.in
tornado==6.4.1
    # via
    #   ipykernel
    #   jupyter-client
traitlets==5.14.3
    # via
    #   comm
    #   ipykernel
    #   ipython
    #   jupyter-client
    #   jupyter-core
    #   matplotlib-inline
typing-extensions==4.12.2
    # via
    #   alembic
    #   graphene
    #   ipython
    #   opentelemetry-sdk
    #   optree
    #   rich
    #   sqlalchemy
    #   tensorflow
    #   torch
tzdata==2024.2
    # via pandas
ultralytics==8.3.23
urllib3==2.2.3
    # via
    #   -r requirements.in
    #   botocore
    #   docker
    #   requests
wcwidth==0.2.13
    # via prompt-toolkit
werkzeug==3.0.5
    # via
    #   flask
    #   tensorboard
wheel==0.44.0
    # via astunparse
wrapt==1.16.0
    # via
    #   deprecated
    #   tensorflow
zipp==3.20.2
    # via importlib-metadata

# The following packages are considered to be unsafe in a requirements file:
# setuptools