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PerturbRobust

Determine the robustness of deep learning imaging classifiers to perturbations

Relevant packages are autokeras, torchvision, pytorch, medmnist, numpy, scikit-learn, tensorflow, keras, and PIL.

Full environment: absl-py==2.1.0

angelcommunity==2.0.0

anyio @ file:///tmp/build/80754af9/anyio_1644481695334/work/dist

argon2-cffi @ file:///opt/conda/conda-bld/argon2-cffi_1645000214183/work

argon2-cffi-bindings @ file:///tmp/build/80754af9/argon2-cffi-bindings_1644553347904/work

asttokens @ file:///opt/conda/conda-bld/asttokens_1646925590279/work

astunparse==1.6.3

attrs @ file:///croot/attrs_1695717823297/work

autokeras==1.1.0

backcall @ file:///home/ktietz/src/ci/backcall_1611930011877/work

bimlpa==0.1.2

bleach @ file:///opt/conda/conda-bld/bleach_1641577558959/work

cachetools==5.3.2

cdlib==0.3.0

certifi==2023.7.22

cffi @ file:///home/builder/ci_310/cffi_1642753365720/work

charset-normalizer==3.3.0

cmake==3.28.1

comm @ file:///croot/comm_1671231121260/work

contourpy==1.1.1

cycler==0.12.1

debugpy @ file:///home/builder/ci_310/debugpy_1640789504635/work

decorator @ file:///opt/conda/conda-bld/decorator_1643638310831/work

defusedxml @ file:///tmp/build/80754af9/defusedxml_1615228127516/work

demon==2.0.6

dm-tree==0.1.8

dynetx==0.3.2

entrypoints @ file:///tmp/build/80754af9/entrypoints_1649908313000/work

eva-lcd==0.1.1

exceptiongroup @ file:///croot/exceptiongroup_1668714342571/work

executing @ file:///opt/conda/conda-bld/executing_1646925071911/work

fastjsonschema @ file:///opt/conda/conda-bld/python-fastjsonschema_1661371079312/work

filelock==3.13.1

fire==0.5.0

flatbuffers==23.5.26

fonttools==4.43.1

future==0.18.3

gast==0.5.4

google-auth==2.27.0

google-auth-oauthlib==1.2.0

google-pasta==0.2.0

grpcio==1.60.0

gseapy==1.0.6

h5py==3.10.0

idna @ file:///croot/idna_1666125576474/work

igraph==0.11.2

imageio==2.33.1

ipykernel @ file:///croot/ipykernel_1671488378391/work

ipython @ file:///croot/ipython_1694181358621/work

ipython-genutils @ file:///tmp/build/80754af9/ipython_genutils_1606773439826/work

jedi @ file:///tmp/build/80754af9/jedi_1644315229345/work

Jinja2 @ file:///croot/jinja2_1666908132255/work

joblib==1.3.2

jsonschema @ file:///croot/jsonschema_1676558650973/work

jupyter-client @ file:///opt/conda/conda-bld/jupyter_client_1650622202839/work

jupyter-server @ file:///opt/conda/conda-bld/jupyter_server_1644494914632/work

jupyter_core @ file:///croot/jupyter_core_1679906564508/work

jupyterlab-pygments @ file:///tmp/build/80754af9/jupyterlab_pygments_1601490720602/work

kagglehub==0.1.6

keras==2.15.0

keras-core==0.1.7

keras-nlp==0.7.0

keras-tuner==1.4.6

kiwisolver==1.4.5

kt-legacy==1.0.5

lazy_loader==0.3

leidenalg==0.10.1

Levenshtein==0.23.0

libclang==16.0.6

lit==17.0.6

llvmlite==0.41.1

Markdown==3.5.2

markdown-it-py==3.0.0

markov-clustering==0.0.6.dev0

MarkupSafe @ file:///opt/conda/conda-bld/markupsafe_1654597864307/work

matplotlib==3.8.0

matplotlib-inline @ file:///opt/conda/conda-bld/matplotlib-inline_1662014470464/work

mdurl==0.1.2

medmnist==3.0.1

mistune @ file:///home/builder/ci_310/mistune_1640791641754/work

ml-dtypes==0.2.0

mpmath==1.3.0

namex==0.0.7

nb-conda-kernels @ file:///home/builder/ci_310/nb_conda_kernels_1640815331881/work

nbclassic @ file:///croot/nbclassic_1681756170010/work

nbclient @ file:///tmp/build/80754af9/nbclient_1650290238894/work

nbconvert @ file:///home/builder/ci_310/nbconvert_1641917101529/work

nbformat @ file:///croot/nbformat_1694616755618/work

nest-asyncio @ file:///croot/nest-asyncio_1672387112409/work

networkx==3.2.1

nf1==0.0.4

notebook @ file:///croot/notebook_1690984815942/work

notebook_shim @ file:///croot/notebook-shim_1668160579331/work

numba==0.58.1

numpy==1.26.0

nvidia-cublas-cu11==11.10.3.66

nvidia-cuda-cupti-cu11==11.7.101

nvidia-cuda-nvrtc-cu11==11.7.99

nvidia-cuda-runtime-cu11==11.7.99

nvidia-cudnn-cu11==8.5.0.96

nvidia-cufft-cu11==10.9.0.58

nvidia-curand-cu11==10.2.10.91

nvidia-cusolver-cu11==11.4.0.1

nvidia-cusparse-cu11==11.7.4.91

nvidia-nccl-cu11==2.14.3

nvidia-nvtx-cu11==11.7.91

oauthlib==3.2.2

opencv-python==4.9.0.80

opt-einsum==3.3.0

packaging @ file:///croot/packaging_1693575174725/work

pandas==2.1.1

pandocfilters @ file:///opt/conda/conda-bld/pandocfilters_1643405455980/work

parso @ file:///opt/conda/conda-bld/parso_1641458642106/work

patsy==0.5.3

pexpect @ file:///tmp/build/80754af9/pexpect_1605563209008/work

pickleshare @ file:///tmp/build/80754af9/pickleshare_1606932040724/work

Pillow==10.0.1

platformdirs @ file:///croot/platformdirs_1692205439124/work

pooch==1.8.0

prometheus-client @ file:///tmp/abs_d3zeliano1/croots/recipe/prometheus_client_1659455100375/work

prompt-toolkit @ file:///croot/prompt-toolkit_1672387306916/work

protobuf==4.23.4

psutil @ file:///home/builder/ci_310/psutil_1640792629460/work

ptyprocess @ file:///tmp/build/80754af9/ptyprocess_1609355006118/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl

PuLP==2.7.0

pure-eval @ file:///opt/conda/conda-bld/pure_eval_1646925070566/work

pyasn1==0.5.1

pyasn1-modules==0.3.0

pycairo==1.25.0

pycparser @ file:///tmp/build/80754af9/pycparser_1636541352034/work

Pygments @ file:///croot/pygments_1684279966437/work

pynndescent==0.5.10

pyparsing==3.1.1

pyrsistent @ file:///home/builder/ci_310/pyrsistent_1640807196327/work

python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work

python-igraph==0.11.2

python-Levenshtein==0.23.0

python-louvain==0.16

pytz==2023.3.post1

pyzmq @ file:///home/builder/ci_310/pyzmq_1640794096902/work

rapidfuzz==3.5.2

regex==2023.12.25

requests==2.31.0

requests-oauthlib==1.3.1

rich==13.7.0

rsa==4.9

scikit-image==0.22.0

scikit-learn==1.3.1

scipy==1.11.3

seaborn==0.13.0

Send2Trash @ file:///tmp/build/80754af9/send2trash_1632406701022/work

six @ file:///tmp/build/80754af9/six_1644875935023/work

sniffio @ file:///home/builder/ci_310/sniffio_1640794799774/work

stack-data @ file:///opt/conda/conda-bld/stack_data_1646927590127/work

statsmodels==0.14.0

sympy==1.12

tbb==2021.10.0

tensorboard==2.15.1

tensorboard-data-server==0.7.2

tensorflow==2.15.0.post1

tensorflow-estimator==2.15.0

tensorflow-hub==0.16.0

tensorflow-io-gcs-filesystem==0.35.0

tensorflow-text==2.15.0

termcolor==2.4.0

terminado @ file:///croot/terminado_1671751832461/work

testpath @ file:///opt/conda/conda-bld/testpath_1655908557405/work

texttable==1.7.0

threadpoolctl==3.2.0

thresholdclustering==1.1

tifffile==2023.12.9

torch==2.0.1

torchvision==0.15.2

tornado @ file:///home/builder/ci_310/tornado_1640795392144/work

tqdm==4.66.1

traitlets @ file:///croot/traitlets_1671143879854/work

triton==2.0.0

typing_extensions @ file:///croot/typing_extensions_1690297465030/work

tzdata==2023.3

umap-learn==0.5.4

urllib3==2.0.6

wcwidth @ file:///Users/ktietz/demo/mc3/conda-bld/wcwidth_1629357192024/work

webencodings==0.5.1

websocket-client @ file:///home/builder/ci_310/websocket-client_1640795866898/work

Werkzeug==3.0.1

wrapt==1.14.1

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Determine the robustness of deep learning imaging classifiers to perturbations

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