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Author:
None
Summary:
Training code and pre-trained models for Neural Cellular Automata on different datasets and tasks
Latest version:
0.4.1
Required dependencies:
absl-py
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aiohappyeyeballs
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aiohttp
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albucore
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albumentations
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annotated-types
|
asttokens
|
astunparse
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attrs
|
build
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cachetools
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certifi
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cfgv
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charset-normalizer
|
cheroot
|
click
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colorclass
|
comm
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contourpy
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cycler
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debugpy
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decorator
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distlib
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docopt
|
emoji
|
etils
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eval-type-backport
|
executing
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filelock
|
fire
|
flatbuffers
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fonttools
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frozenlist
|
fsspec
|
gast
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gcsfs
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google-pasta
|
grpcio
|
gviz-api
|
h5py
|
identify
|
idna
|
imageio
|
importlib-resources
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iniconfig
|
ipython
|
jaraco-functools
|
jedi
|
jinja2
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joblib
|
keras
|
keras-applications
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kiwisolver
|
lazy-loader
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libclang
|
markdown
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markdown-it-py
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markupsafe
|
matplotlib
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matplotlib-inline
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mdurl
|
medmnist
|
ml-dtypes
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more-itertools
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mpmath
|
multidict
|
munch
|
mypy
|
mypy-extensions
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namex
|
nest-asyncio
|
networkx
|
nodeenv
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numpy
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oauthlib
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onnx
|
onnxscript
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opencv-python-headless
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opt-einsum
|
optree
|
packaging
|
pandas
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pandas-stubs
|
parso
|
pexpect
|
pillow
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pip-tools
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pip-upgrader
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platformdirs
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pluggy
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plyfile
|
pre-commit
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pretrainedmodels
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prompt-toolkit
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propcache
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proto-plus
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protobuf
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psutil
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ptyprocess
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pure-eval
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pyasn1
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pyasn1-modules
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pydantic
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pydantic-core
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pygments
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pyparsing
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pyproject-hooks
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pytest
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python-dateutil
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pytorch-msssim
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pytz
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pyyaml
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pyzmq
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regex
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requests
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requests-oauthlib
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rich
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rsa
|
ruff
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safetensors
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scikit-image
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scikit-learn
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scipy
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scipy-stubs
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seaborn
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segmentation-models-pytorch
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semver
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setuptools
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simsimd
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six
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sphinx
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sphinx-autoapi
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sphinx-rtd-theme
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stack-data
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stringzilla
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sympy
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tensorboard
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tensorboard-data-server
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tensorboard-plugin-profile
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tensorflow
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termcolor
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terminaltables
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threadpoolctl
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tifffile
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tokenizers
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torch
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torch-tb-profiler
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torchmetrics
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tornado
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tqdm
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traitlets
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transformers
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twine
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types-pytz
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types-requests
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types-tqdm
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typing-extensions
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typing-inspection
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tzdata
|
urllib3
|
virtualenv
|
wcwidth
|
werkzeug
|
wheel
|
wrapt
|
yarl
|
zipp
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