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requirements.txt
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#
# 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
# keras-core
# keras-nlp
# tensorboard
# tensorflow
anyio==4.6.2.post1
# via
# httpx
# jupyter-server
argon2-cffi==23.1.0
# via jupyter-server
argon2-cffi-bindings==21.2.0
# via argon2-cffi
arrow==1.3.0
# via isoduration
asttokens==3.0.0
# via stack-data
astunparse==1.6.3
# via tensorflow
async-lru==2.0.4
# via jupyterlab
attrs==24.2.0
# via
# jsonschema
# referencing
babel==2.16.0
# via jupyterlab-server
beautifulsoup4==4.12.3
# via nbconvert
bleach==6.2.0
# via nbconvert
certifi==2024.2.2
# via
# httpcore
# httpx
# requests
cffi==1.17.1
# via argon2-cffi-bindings
charset-normalizer==3.3.2
# via requests
comm==0.2.2
# via ipykernel
contourpy==1.3.1
# via matplotlib
cycler==0.12.1
# via matplotlib
debugpy==1.8.9
# via ipykernel
decorator==5.1.1
# via ipython
defusedxml==0.7.1
# via nbconvert
dm-tree==0.1.8
# via
# keras-core
# keras-nlp
exceptiongroup==1.2.2
# via
# anyio
# ipython
executing==2.1.0
# via stack-data
fastjsonschema==2.21.0
# via nbformat
filelock==3.16.1
# via
# torch
# triton
flatbuffers==23.5.26
# via tensorflow
fonttools==4.55.0
# via matplotlib
fqdn==1.5.1
# via jsonschema
fsspec==2024.10.0
# via torch
gast==0.4.0
# via tensorflow
google-pasta==0.2.0
# via tensorflow
grpcio==1.60.1
# via
# tensorboard
# tensorflow
h11==0.14.0
# via httpcore
h5py==3.10.0
# via
# keras
# keras-core
# tensorflow
httpcore==1.0.7
# via httpx
httpx==0.28.0
# via jupyterlab
idna==3.6
# via
# anyio
# httpx
# jsonschema
# requests
idx2numpy==1.2.3
# via -r requirements.in
ipykernel==6.29.5
# via jupyterlab
ipython==8.30.0
# via ipykernel
isoduration==20.11.0
# via jsonschema
jedi==0.19.2
# via ipython
jinja2==3.1.4
# via
# jupyter-server
# jupyterlab
# jupyterlab-server
# nbconvert
# torch
joblib==1.4.2
# via scikit-learn
json5==0.10.0
# via jupyterlab-server
jsonpointer==3.0.0
# via jsonschema
jsonschema[format-nongpl]==4.23.0
# via
# jupyter-events
# jupyterlab-server
# nbformat
jsonschema-specifications==2024.10.1
# via jsonschema
jupyter-client==8.6.3
# via
# ipykernel
# jupyter-server
# nbclient
jupyter-core==5.7.2
# via
# ipykernel
# jupyter-client
# jupyter-server
# jupyterlab
# nbclient
# nbconvert
# nbformat
jupyter-events==0.10.0
# via jupyter-server
jupyter-lsp==2.2.5
# via jupyterlab
jupyter-server==2.14.2
# via
# jupyter-lsp
# jupyterlab
# jupyterlab-server
# notebook
# notebook-shim
jupyter-server-terminals==0.5.3
# via jupyter-server
jupyterlab==4.2.6
# via notebook
jupyterlab-pygments==0.3.0
# via nbconvert
jupyterlab-server==2.27.3
# via
# jupyterlab
# notebook
kagglehub==0.3.4
# via keras-nlp
keras==3.7.0
# via tensorflow
keras-core==0.1.7
# via keras-nlp
keras-nlp==0.9.0
# via -r requirements.in
kiwisolver==1.4.7
# via matplotlib
libclang==16.0.6
# via tensorflow
markdown==3.5.2
# via tensorboard
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# jinja2
# nbconvert
# werkzeug
matplotlib==3.9.2
# via -r requirements.in
matplotlib-inline==0.1.7
# via
# ipykernel
# ipython
mdurl==0.1.2
# via markdown-it-py
mistune==3.0.2
# via nbconvert
ml-dtypes==0.3.2
# via
# keras
# tensorflow
mpmath==1.3.0
# via sympy
namex==0.0.8
# via
# keras
# keras-core
nbclient==0.10.1
# via nbconvert
nbconvert==7.16.4
# via jupyter-server
nbformat==5.10.4
# via
# jupyter-server
# nbclient
# nbconvert
nest-asyncio==1.6.0
# via ipykernel
networkx==3.4.2
# via torch
notebook==7.2.2
# via -r requirements.in
notebook-shim==0.2.4
# via
# jupyterlab
# notebook
numpy==1.24.3
# via
# contourpy
# h5py
# idx2numpy
# keras
# keras-core
# keras-nlp
# matplotlib
# ml-dtypes
# opt-einsum
# pandas
# scikit-learn
# scipy
# tensorboard
# tensorflow
# torchvision
nvidia-cublas-cu12==12.4.5.8
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.4.127
# via torch
nvidia-cuda-nvrtc-cu12==12.4.127
# via torch
nvidia-cuda-runtime-cu12==12.4.127
# via torch
nvidia-cudnn-cu12==9.1.0.70
# via torch
nvidia-cufft-cu12==11.2.1.3
# via torch
nvidia-curand-cu12==10.3.5.147
# via torch
nvidia-cusolver-cu12==11.6.1.9
# via torch
nvidia-cusparse-cu12==12.3.1.170
# via
# nvidia-cusolver-cu12
# torch
nvidia-nccl-cu12==2.21.5
# via torch
nvidia-nvjitlink-cu12==12.4.127
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
# torch
nvidia-nvtx-cu12==12.4.127
# via torch
opt-einsum==3.3.0
# via tensorflow
optree==0.13.1
# via keras
overrides==7.7.0
# via jupyter-server
packaging==23.2
# via
# ipykernel
# jupyter-server
# jupyterlab
# jupyterlab-server
# kagglehub
# keras
# keras-nlp
# matplotlib
# nbconvert
# tensorflow
pandas==2.2.3
# via -r requirements.in
pandocfilters==1.5.1
# via nbconvert
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
prometheus-client==0.21.0
# via jupyter-server
prompt-toolkit==3.0.48
# via ipython
protobuf==4.25.3
# via
# tensorboard
# tensorflow
psutil==6.1.0
# via ipykernel
ptyprocess==0.7.0
# via
# pexpect
# terminado
pure-eval==0.2.3
# via stack-data
pycparser==2.22
# via cffi
pygments==2.18.0
# via
# ipython
# nbconvert
# rich
pyparsing==3.2.0
# via matplotlib
python-dateutil==2.9.0.post0
# via
# arrow
# jupyter-client
# matplotlib
# pandas
python-json-logger==2.0.7
# via jupyter-events
pytz==2024.2
# via pandas
pyyaml==6.0.2
# via jupyter-events
pyzmq==26.2.0
# via
# ipykernel
# jupyter-client
# jupyter-server
referencing==0.35.1
# via
# jsonschema
# jsonschema-specifications
# jupyter-events
regex==2024.11.6
# via keras-nlp
requests==2.31.0
# via
# jupyterlab-server
# kagglehub
# tensorflow
rfc3339-validator==0.1.4
# via
# jsonschema
# jupyter-events
rfc3986-validator==0.1.1
# via
# jsonschema
# jupyter-events
rich==13.9.4
# via
# keras
# keras-core
# keras-nlp
rpds-py==0.21.0
# via
# jsonschema
# referencing
scikit-learn==1.5.2
# via -r requirements.in
scipy==1.14.1
# via scikit-learn
send2trash==1.8.3
# via jupyter-server
six==1.16.0
# via
# astunparse
# google-pasta
# idx2numpy
# python-dateutil
# rfc3339-validator
# tensorboard
# tensorflow
sniffio==1.3.1
# via anyio
soupsieve==2.6
# via beautifulsoup4
stack-data==0.6.3
# via ipython
sympy==1.13.1
# via torch
tensorboard==2.16.2
# via tensorflow
tensorboard-data-server==0.7.2
# via tensorboard
tensorflow==2.16.1
# via
# -r requirements.in
# tensorflow-text
tensorflow-io-gcs-filesystem==0.36.0
# via tensorflow
tensorflow-text==2.16.1
# via keras-nlp
termcolor==2.4.0
# via tensorflow
terminado==0.18.1
# via
# jupyter-server
# jupyter-server-terminals
threadpoolctl==3.5.0
# via scikit-learn
tinycss2==1.4.0
# via nbconvert
tomli==2.2.1
# via jupyterlab
torch==2.5.0
# via
# -r requirements.in
# torchaudio
# torchvision
torchaudio==2.5.0
# via -r requirements.in
torchvision==0.20.0
# via -r requirements.in
tornado==6.4.2
# via
# ipykernel
# jupyter-client
# jupyter-server
# jupyterlab
# notebook
# terminado
tqdm==4.67.1
# via kagglehub
traitlets==5.14.3
# via
# comm
# ipykernel
# ipython
# jupyter-client
# jupyter-core
# jupyter-events
# jupyter-server
# jupyterlab
# matplotlib-inline
# nbclient
# nbconvert
# nbformat
triton==3.1.0
# via torch
types-python-dateutil==2.9.0.20241003
# via arrow
typing-extensions==4.12.2
# via
# anyio
# async-lru
# ipython
# optree
# rich
# tensorflow
# torch
tzdata==2024.2
# via pandas
uri-template==1.3.0
# via jsonschema
urllib3==2.2.0
# via requests
wcwidth==0.2.13
# via prompt-toolkit
webcolors==24.11.1
# via jsonschema
webencodings==0.5.1
# via
# bleach
# tinycss2
websocket-client==1.8.0
# via jupyter-server
werkzeug==3.0.1
# via tensorboard
wheel==0.42.0
# via astunparse
wrapt==1.16.0
# via tensorflow
# The following packages are considered to be unsafe in a requirements file:
# setuptools