requirements.compiled.txt

#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
#    pip-compile --output-file=- requirements.txt
#
absl-py==2.1.0
    # via mediapipe
aedat==2.1.0
    # via -r requirements.txt
aiohappyeyeballs==2.4.4
    # via aiohttp
aiohttp==3.11.10
    # via
    #   datasets
    #   fsspec
aiosignal==1.3.1
    # via aiohttp
ansicolors==1.1.8
    # via papermill
apricot-select==0.6.1
    # via pomegranate
asttokens==3.0.0
    # via stack-data
async-timeout==5.0.1
    # via aiohttp
attrs==24.2.0
    # via
    #   aiohttp
    #   jsonschema
    #   mediapipe
    #   referencing
audioread==3.0.1
    # via librosa
av==14.0.1
    # via -r requirements.txt
beautifulsoup4==4.12.3
    # via nbconvert
bleach==6.2.0
    # via
    #   nbconvert
    #   panel
bokeh==3.6.2
    # via
    #   holoviews
    #   panel
    #   umap-learn
brevitas==0.11.0
    # via -r requirements.txt
build==1.2.2.post1
    # via pip-tools
certifi==2024.8.30
    # via
    #   requests
    #   sentry-sdk
cffi==1.17.1
    # via
    #   sounddevice
    #   soundfile
charset-normalizer==3.4.0
    # via requests
click==8.1.7
    # via
    #   dask
    #   papermill
    #   pip-tools
cloudpickle==3.1.0
    # via dask
colorcet==3.1.0
    # via
    #   datashader
    #   holoviews
    #   umap-learn
comet-ml==3.47.4
    # via -r requirements.txt
comm==0.2.2
    # via
    #   ipykernel
    #   ipywidgets
configobj==5.0.9
    # via everett
contourpy==1.3.1
    # via
    #   bokeh
    #   matplotlib
cycler==0.12.1
    # via matplotlib
dask==2024.12.0
    # via datashader
datasets[audio,vision]==3.1.0
    # via -r requirements.txt
datashader==0.16.3
    # via umap-learn
debugpy==1.8.9
    # via ipykernel
decorator==5.1.1
    # via
    #   ipython
    #   librosa
defusedxml==0.7.1
    # via nbconvert
dependencies==2.0.1
    # via brevitas
dill==0.3.8
    # via
    #   datasets
    #   multiprocess
dulwich==0.22.6
    # via comet-ml
einops==0.8.0
    # via -r requirements.txt
entrypoints==0.4
    # via papermill
et-xmlfile==2.0.0
    # via openpyxl
everett[ini]==3.1.0
    # via comet-ml
exceptiongroup==1.2.2
    # via ipython
executing==2.1.0
    # via stack-data
fastjsonschema==2.21.1
    # via nbformat
filelock==3.16.1
    # via
    #   datasets
    #   huggingface-hub
    #   torch
    #   triton
flatbuffers==24.3.25
    # via mediapipe
fonttools==4.55.2
    # via matplotlib
frozenlist==1.5.0
    # via
    #   aiohttp
    #   aiosignal
fsspec[http]==2024.9.0
    # via
    #   dask
    #   datasets
    #   huggingface-hub
    #   lightning
    #   pytorch-lightning
    #   torch
h5py==3.12.1
    # via -r requirements.txt
hmmlearn==0.3.3
    # via -r requirements.txt
holoviews==1.20.0
    # via umap-learn
huggingface-hub[cli,torch]==0.26.5
    # via
    #   -r requirements.txt
    #   datasets
    #   timm
idna==3.10
    # via
    #   requests
    #   yarl
imageio==2.36.1
    # via
    #   -r requirements.txt
    #   scikit-image
importlib-metadata==8.5.0
    # via dask
inquirerpy==0.3.4
    # via huggingface-hub
ipykernel==6.29.5
    # via -r requirements.txt
ipython==8.30.0
    # via
    #   ipykernel
    #   ipywidgets
ipywidgets==8.1.5
    # via -r requirements.txt
jax==0.4.37
    # via mediapipe
jaxlib==0.4.36
    # via
    #   jax
    #   mediapipe
jedi==0.19.2
    # via ipython
jinja2==3.1.4
    # via
    #   bokeh
    #   nbconvert
    #   torch
joblib==1.4.2
    # via
    #   librosa
    #   pynndescent
    #   scikit-learn
jsonschema==4.23.0
    # via
    #   comet-ml
    #   nbformat
jsonschema-specifications==2024.10.1
    # via jsonschema
jupyter-client==8.6.3
    # via
    #   ipykernel
    #   nbclient
jupyter-core==5.7.2
    # via
    #   ipykernel
    #   jupyter-client
    #   nbclient
    #   nbconvert
    #   nbformat
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-widgets==3.0.13
    # via ipywidgets
kaleido==0.2.1
    # via -r requirements.txt
kiwisolver==1.4.7
    # via matplotlib
lazy-loader==0.4
    # via
    #   librosa
    #   scikit-image
librosa==0.10.2.post1
    # via datasets
lightning==2.4.0
    # via -r requirements.txt
lightning-utilities==0.11.9
    # via
    #   lightning
    #   pytorch-lightning
    #   torchmetrics
line-profiler==4.2.0
    # via -r requirements.txt
linkify-it-py==2.0.3
    # via panel
llvmlite==0.43.0
    # via
    #   numba
    #   pynndescent
locket==1.0.0
    # via partd
lz4==4.3.3
    # via -r requirements.txt
markdown==3.7
    # via panel
markdown-it-py==3.0.0
    # via
    #   mdit-py-plugins
    #   panel
    #   rich
markupsafe==3.0.2
    # via
    #   jinja2
    #   nbconvert
matplotlib==3.9.2
    # via
    #   -r requirements.txt
    #   mediapipe
    #   seaborn
    #   umap-learn
matplotlib-inline==0.1.7
    # via
    #   ipykernel
    #   ipython
mdit-py-plugins==0.4.2
    # via panel
mdurl==0.1.2
    # via markdown-it-py
mediapipe==0.10.18
    # via -r requirements.txt
mistune==3.0.2
    # via nbconvert
ml-dtypes==0.5.0
    # via
    #   jax
    #   jaxlib
mpmath==1.3.0
    # via sympy
msgpack==1.1.0
    # via librosa
multidict==6.1.0
    # via
    #   aiohttp
    #   yarl
multipledispatch==1.0.0
    # via datashader
multiprocess==0.70.16
    # via datasets
nbclient==0.10.1
    # via
    #   nbconvert
    #   papermill
nbconvert==7.16.4
    # via -r requirements.txt
nbformat==5.10.4
    # via
    #   -r requirements.txt
    #   nbclient
    #   nbconvert
    #   papermill
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.4.2
    # via
    #   pomegranate
    #   scikit-image
    #   torch
nose==1.3.7
    # via apricot-select
numba==0.60.0
    # via
    #   apricot-select
    #   datashader
    #   librosa
    #   pynndescent
    #   umap-learn
numpy==1.26.4
    # via
    #   -r requirements.txt
    #   aedat
    #   apricot-select
    #   bokeh
    #   brevitas
    #   contourpy
    #   datasets
    #   datashader
    #   h5py
    #   hmmlearn
    #   holoviews
    #   imageio
    #   jax
    #   jaxlib
    #   librosa
    #   matplotlib
    #   mediapipe
    #   ml-dtypes
    #   numba
    #   opencv-contrib-python
    #   opencv-contrib-python-headless
    #   pandas
    #   pomegranate
    #   safetensors
    #   scikit-image
    #   scikit-learn
    #   scipy
    #   seaborn
    #   soxr
    #   tifffile
    #   torch-hd
    #   torchmetrics
    #   torchvision
    #   umap-learn
    #   unfoldnd
    #   xarray
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
#opencv-contrib-python==4.10.0.84  # Causes ImportError on headless systems
    # via mediapipe
opencv-contrib-python-headless==4.10.0.84
    # via -r requirements.txt
openpyxl==3.1.5
    # via torch-hd
opt-einsum==3.4.0
    # via jax
packaging==24.2
    # via
    #   bokeh
    #   brevitas
    #   build
    #   dask
    #   datasets
    #   datashader
    #   holoviews
    #   huggingface-hub
    #   ipykernel
    #   lazy-loader
    #   lightning
    #   lightning-utilities
    #   matplotlib
    #   nbconvert
    #   panel
    #   plotly
    #   pooch
    #   pytorch-lightning
    #   scikit-image
    #   torchmetrics
    #   xarray
pandas==2.2.3
    # via
    #   -r requirements.txt
    #   bokeh
    #   datasets
    #   datashader
    #   holoviews
    #   panel
    #   seaborn
    #   torch-hd
    #   umap-learn
    #   xarray
pandocfilters==1.5.1
    # via nbconvert
panel==1.5.4
    # via holoviews
papermill==2.6.0
    # via -r requirements.txt
param==2.1.1
    # via
    #   datashader
    #   holoviews
    #   panel
    #   pyct
    #   pyviz-comms
parso==0.8.4
    # via jedi
partd==1.4.2
    # via dask
pexpect==4.9.0
    # via ipython
pfzy==0.3.4
    # via inquirerpy
pillow==11.0.0
    # via
    #   bokeh
    #   datasets
    #   datashader
    #   imageio
    #   matplotlib
    #   scikit-image
    #   torchvision
pip-tools==7.4.1
    # via -r requirements.txt
platformdirs==4.3.6
    # via
    #   jupyter-core
    #   pooch
plotly==5.24.1
    # via -r requirements.txt
pomegranate==1.1.1
    # via -r requirements.txt
pooch==1.8.2
    # via librosa
prompt-toolkit==3.0.48
    # via
    #   inquirerpy
    #   ipython
propcache==0.2.1
    # via
    #   aiohttp
    #   yarl
protobuf==4.25.5
    # via mediapipe
psutil==6.1.0
    # via
    #   comet-ml
    #   ipykernel
ptyprocess==0.7.0
    # via pexpect
pure-eval==0.2.3
    # via stack-data
pyarrow==18.1.0
    # via datasets
pycparser==2.22
    # via cffi
pyct==0.5.0
    # via datashader
pygments==2.18.0
    # via
    #   ipython
    #   nbconvert
    #   rich
pynndescent==0.5.13
    # via umap-learn
pyparsing==3.2.0
    # via matplotlib
pyproject-hooks==1.2.0
    # via
    #   build
    #   pip-tools
python-box==6.1.0
    # via comet-ml
python-dateutil==2.9.0.post0
    # via
    #   jupyter-client
    #   matplotlib
    #   pandas
pytorch-lightning==2.4.0
    # via lightning
pytz==2024.2
    # via pandas
pyviz-comms==3.0.3
    # via
    #   holoviews
    #   panel
pyyaml==6.0.2
    # via
    #   bokeh
    #   dask
    #   datasets
    #   huggingface-hub
    #   lightning
    #   papermill
    #   pytorch-lightning
    #   timm
pyzmq==26.2.0
    # via
    #   ipykernel
    #   jupyter-client
referencing==0.35.1
    # via
    #   jsonschema
    #   jsonschema-specifications
requests==2.32.3
    # via
    #   comet-ml
    #   datasets
    #   datashader
    #   huggingface-hub
    #   panel
    #   papermill
    #   pooch
    #   requests-toolbelt
    #   torch-hd
    #   torchdata
requests-toolbelt==1.0.0
    # via comet-ml
rich==13.9.4
    # via comet-ml
rpds-py==0.22.3
    # via
    #   jsonschema
    #   referencing
safetensors[numpy,torch]==0.4.5
    # via
    #   huggingface-hub
    #   timm
scikit-image==0.24.0
    # via umap-learn
scikit-learn==1.6.0
    # via
    #   -r requirements.txt
    #   hmmlearn
    #   librosa
    #   pomegranate
    #   pynndescent
    #   umap-learn
scipy==1.14.1
    # via
    #   -r requirements.txt
    #   apricot-select
    #   datashader
    #   hmmlearn
    #   jax
    #   jaxlib
    #   librosa
    #   pomegranate
    #   pynndescent
    #   scikit-image
    #   scikit-learn
    #   torch-hd
    #   umap-learn
seaborn==0.13.2
    # via
    #   -r requirements.txt
    #   umap-learn
semantic-version==2.10.0
    # via comet-ml
sentencepiece==0.2.0
    # via mediapipe
sentry-sdk==2.19.2
    # via comet-ml
simplejson==3.19.3
    # via comet-ml
six==1.17.0
    # via python-dateutil
sounddevice==0.5.1
    # via mediapipe
soundfile==0.12.1
    # via
    #   datasets
    #   librosa
soupsieve==2.6
    # via beautifulsoup4
soxr==0.5.0.post1
    # via
    #   datasets
    #   librosa
stack-data==0.6.3
    # via ipython
sympy==1.13.1
    # via
    #   -r requirements.txt
    #   brevitas
    #   torch
tenacity==9.0.0
    # via
    #   papermill
    #   plotly
threadpoolctl==3.5.0
    # via scikit-learn
tifffile==2024.9.20
    # via scikit-image
timm==1.0.12
    # via -r requirements.txt
tinycss2==1.4.0
    # via nbconvert
tomli==2.2.1
    # via
    #   build
    #   pip-tools
toolz==1.0.0
    # via
    #   dask
    #   datashader
    #   partd
torch==2.5.1
    # via
    #   -r requirements.txt
    #   brevitas
    #   huggingface-hub
    #   lightning
    #   pomegranate
    #   pytorch-lightning
    #   safetensors
    #   timm
    #   torch-hd
    #   torchaudio
    #   torchdata
    #   torchmetrics
    #   torchvision
    #   unfoldnd
torch-hd==5.7.1
    # via -r requirements.txt
torchaudio==2.5.1
    # via -r requirements.txt
torchdata==0.9.0
    # via -r requirements.txt
torchinfo==1.8.0
    # via -r requirements.txt
torchmetrics==1.6.0
    # via
    #   -r requirements.txt
    #   lightning
    #   pytorch-lightning
torchvision==0.20.1
    # via
    #   -r requirements.txt
    #   timm
tornado==6.4.2
    # via
    #   bokeh
    #   ipykernel
    #   jupyter-client
tqdm==4.67.1
    # via
    #   apricot-select
    #   datasets
    #   huggingface-hub
    #   lightning
    #   panel
    #   papermill
    #   pytorch-lightning
    #   torch-hd
    #   umap-learn
traitlets==5.14.3
    # via
    #   comm
    #   ipykernel
    #   ipython
    #   ipywidgets
    #   jupyter-client
    #   jupyter-core
    #   matplotlib-inline
    #   nbclient
    #   nbconvert
    #   nbformat
triton==3.1.0
    # via torch
typing-extensions==4.12.2
    # via
    #   brevitas
    #   huggingface-hub
    #   ipython
    #   librosa
    #   lightning
    #   lightning-utilities
    #   multidict
    #   panel
    #   pytorch-lightning
    #   rich
    #   torch
tzdata==2024.2
    # via pandas
uc-micro-py==1.0.3
    # via linkify-it-py
umap-learn[plot]==0.5.7
    # via -r requirements.txt
unfoldnd==0.2.2
    # via brevitas
urllib3==2.2.3
    # via
    #   comet-ml
    #   dulwich
    #   requests
    #   sentry-sdk
    #   torchdata
wcwidth==0.2.13
    # via prompt-toolkit
webencodings==0.5.1
    # via
    #   bleach
    #   tinycss2
wheel==0.45.1
    # via pip-tools
widgetsnbextension==4.0.13
    # via ipywidgets
wrapt==1.17.0
    # via comet-ml
wurlitzer==3.1.1
    # via comet-ml
xarray==2024.11.0
    # via datashader
xxhash==3.5.0
    # via datasets
xyzservices==2024.9.0
    # via bokeh
yarl==1.18.3
    # via aiohttp
zipp==3.21.0
    # via importlib-metadata

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