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requirements_pinned.txt
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requirements_pinned.txt
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#
# This file is autogenerated by pip-compile with Python 3.11
# by the following command:
#
# pip-compile --output-file=requirements_pinned.txt requirements.txt
#
absl-py==2.1.0
# via
# keras
# tensorboard
# tensorflow
annotated-types==0.7.0
# via pydantic
astunparse==1.6.3
# via tensorflow
beautifulsoup4==4.12.3
# via -r requirements.in
blis==0.7.11
# via thinc
catalogue==2.0.10
# via
# spacy
# srsly
# thinc
certifi==2024.7.4
# via requests
chardet==5.2.0
# via reportlab
charset-normalizer==3.3.2
# via requests
click==8.1.7
# via typer
cloudpathlib==0.18.1
# via weasel
confection==0.1.5
# via
# thinc
# weasel
contourpy==1.2.1
# via matplotlib
cycler==0.12.1
# via matplotlib
cymem==2.0.8
# via
# preshed
# spacy
# thinc
filelock==3.15.4
# via
# torch
# triton
flatbuffers==24.3.25
# via tensorflow
fonttools==4.53.1
# via matplotlib
fsspec==2024.6.1
# via torch
gast==0.6.0
# via tensorflow
gensim==4.3.3
# via -r requirements.in
google-pasta==0.2.0
# via tensorflow
grpcio==1.65.1
# via
# tensorboard
# tensorflow
h5py==3.11.0
# via
# keras
# tensorflow
idna==3.7
# via requests
jinja2==3.1.4
# via
# spacy
# torch
joblib==1.4.2
# via
# -r requirements.in
# scikit-learn
keras==3.4.1
# via
# -r requirements.in
# tensorflow
kiwisolver==1.4.5
# via matplotlib
langcodes==3.4.0
# via spacy
langdetect==1.0.9
# via -r requirements.in
language-data==1.2.0
# via langcodes
libclang==18.1.1
# via tensorflow
marisa-trie==1.2.0
# via language-data
markdown==3.6
# via tensorboard
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# jinja2
# werkzeug
matplotlib==3.9.1
# via -r requirements.in
mdurl==0.1.2
# via markdown-it-py
ml-dtypes==0.4.0
# via
# keras
# tensorflow
mpmath==1.3.0
# via sympy
murmurhash==1.0.10
# via
# preshed
# spacy
# thinc
namex==0.0.8
# via keras
networkx==3.3
# via torch
numpy==1.23.5
# via
# -r requirements.in
# blis
# contourpy
# gensim
# h5py
# keras
# matplotlib
# ml-dtypes
# opt-einsum
# pandas
# patsy
# pykx
# scikit-learn
# scipy
# sobol-seq
# spacy
# statsmodels
# tensorboard
# tensorflow
# theano
# thinc
nvidia-cublas-cu12==12.1.3.1
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.1.105
# via torch
nvidia-cuda-nvrtc-cu12==12.1.105
# via torch
nvidia-cuda-runtime-cu12==12.1.105
# via torch
nvidia-cudnn-cu12==8.9.2.26
# via torch
nvidia-cufft-cu12==11.0.2.54
# via torch
nvidia-curand-cu12==10.3.2.106
# via torch
nvidia-cusolver-cu12==11.4.5.107
# via torch
nvidia-cusparse-cu12==12.1.0.106
# via
# nvidia-cusolver-cu12
# torch
nvidia-nccl-cu12==2.20.5
# via torch
nvidia-nvjitlink-cu12==12.5.82
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
opt-einsum==3.3.0
# via tensorflow
optree==0.12.1
# via keras
packaging==24.1
# via
# keras
# matplotlib
# spacy
# statsmodels
# tensorflow
# thinc
# weasel
pandas==2.1.4
# via
# -r requirements.in
# pykx
# statsmodels
patsy==0.5.6
# via statsmodels
pillow==10.4.0
# via
# matplotlib
# reportlab
preshed==3.0.9
# via
# spacy
# thinc
protobuf==4.25.3
# via
# tensorboard
# tensorflow
pydantic==2.8.2
# via
# confection
# spacy
# thinc
# weasel
pydantic-core==2.20.1
# via pydantic
pygments==2.18.0
# via rich
pykx==2.5.3
# via -r requirements.in
pyparsing==3.1.2
# via matplotlib
python-dateutil==2.9.0.post0
# via
# matplotlib
# pandas
pytz==2024.1
# via
# pandas
# pykx
reportlab==4.2.2
# via -r requirements.in
requests==2.32.3
# via
# spacy
# tensorflow
# weasel
rich==13.7.1
# via
# keras
# typer
scikit-learn==1.5.1
# via -r requirements.in
scipy==1.12.0
# via
# -r requirements.in
# gensim
# scikit-learn
# sobol-seq
# statsmodels
# theano
shellingham==1.5.4
# via typer
six==1.16.0
# via
# astunparse
# google-pasta
# langdetect
# patsy
# python-dateutil
# tensorboard
# tensorflow
# theano
smart-open==7.0.4
# via
# gensim
# weasel
sobol-seq==0.2.0
# via -r requirements.in
soupsieve==2.5
# via beautifulsoup4
spacy==3.7.5
# via -r requirements.in
spacy-legacy==3.0.12
# via spacy
spacy-loggers==1.0.5
# via spacy
srsly==2.4.8
# via
# confection
# spacy
# thinc
# weasel
statsmodels==0.14.2
# via -r requirements.in
sympy==1.13.1
# via torch
tensorboard==2.17.0
# via tensorflow
tensorboard-data-server==0.7.2
# via tensorboard
tensorflow==2.17.0
# via -r requirements.in
tensorflow-io-gcs-filesystem==0.37.1
# via tensorflow
termcolor==2.4.0
# via tensorflow
theano==1.0.5
# via -r requirements.in
thinc==8.2.5
# via spacy
threadpoolctl==3.5.0
# via scikit-learn
toml==0.10.2
# via pykx
torch==2.3.1
# via -r requirements.in
tqdm==4.66.4
# via spacy
triton==2.3.1
# via torch
typer==0.12.3
# via
# spacy
# weasel
typing-extensions==4.12.2
# via
# optree
# pydantic
# pydantic-core
# tensorflow
# torch
# typer
tzdata==2024.1
# via pandas
urllib3==2.2.2
# via requests
wasabi==1.1.3
# via
# spacy
# thinc
# weasel
weasel==0.4.1
# via spacy
werkzeug==3.0.3
# via tensorboard
wheel==0.43.0
# via astunparse
wrapt==1.16.0
# via
# smart-open
# tensorflow
# The following packages are considered to be unsafe in a requirements file:
# setuptools