` `PackagesNotFoundError:以下软件包无法从当前信道中获得
` `PackagesNotFoundError:以下软件包无法从当前信道中获得
提问于 2022-07-14 04:23:02
我尝试创建一个在这里指定的conda环境：https://github.com/Aglinskas/pub-CVAE-MRI-ASD/blob/main/requirements.txt
但是，我得到了以下错误：
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
- typing-extensions==4.0.1=pypi_0
- tenacity==8.0.1=pypi_0
- ipykernel==5.5.0=pypi_0
- node2vec==0.4.3=pypi_0
- nvidia-smi==0.1.3=pypi_0
- termcolor==1.1.0=pypi_0
- executing==0.8.0=pypi_0
- gast==0.4.0=pypi_0
- wrapt==1.12.1=pypi_0
- tensorflow==2.5.0=pypi_0
- svgutils==0.3.1=pypi_0
- docopt==0.6.2=pypi_0
- boto3==1.18.6=pypi_0
- tf-nightly==2.5.0.dev20201207=pypi_0
- bids-validator==1.8.4=pypi_0
- numpy==1.19.5=pypi_0
- interface-meta==1.2.4=pypi_0
- requests-oauthlib==1.3.0=pypi_0
- xgboost==1.5.1=pypi_0
- tf-estimator-nightly==2.5.0.dev2020120701=pypi_0
- nvidia-ml-py3==7.352.0=pypi_0
- google-auth==1.23.0=pypi_0
- textwrap3==0.9.2=pypi_0
- pynacl==1.4.0=pypi_0
- clang==5.0=pypi_0
- pyasn1-modules==0.2.8=pypi_0
- invoke==1.5.0=pypi_0
- ansiwrap==0.8.4=pypi_0
- antspyx==0.2.4=pypi_0
- ci-info==0.2.0=pypi_0
- sorcery==0.2.1=pypi_0
- dipy==1.4.1=pypi_0
- tensorflow-gpu==2.3.1=pypi_0
- isodate==0.6.1=pypi_0
- imbalanced-learn==0.8.1=pypi_0
- google-auth-oauthlib==0.4.2=pypi_0
- pygsp==0.5.1=pypi_0
- tb-nightly==2.5.0a20201207=pypi_0
- pycuda==2020.1=pypi_0
- python-levenshtein==0.12.2=pypi_0
- rdflib==6.1.1=pypi_0
- opt-einsum==3.3.0=pypi_0
- astunparse==1.6.3=pypi_0
- tensorboard-data-server==0.6.1=pypi_0
- mako==1.1.4=pypi_0
- sklearn==0.0=pypi_0
- python-louvain==0.15=pypi_0
- tensorboard-plugin-wit==1.7.0=pypi_0
- pathspec==0.9.0=pypi_0
- mriqc==0.16.1=pypi_0
- etelemetry==0.2.2=pypi_0
- smart-open==5.2.1=pypi_0
- simplejson==3.17.6=pypi_0
- nbformat==5.1.3=pypi_0
- colorama==0.4.3=pypi_0
- oauthlib==3.1.0=pypi_0
- nitime==0.9=pypi_0
- grpcio==1.34.1=pypi_0
- awscli==1.19.73=pypi_0
- webcolors==1.11.1=pypi_0
- farneback3d==0.1.3=pypi_0
- traits==6.3.2=pypi_0
- paramiko==2.7.2=pypi_0
- pytest==6.2.5=pypi_0
- rsa==4.6=pypi_0
- google-pasta==0.2.0=pypi_0
- protobuf==3.14.0=pypi_0
- formulaic==0.2.4=pypi_0
- prov==2.0.0=pypi_0
- keras-nightly==2.5.0.dev2021032900=pypi_0
- prettytable==2.1.0=pypi_0
- absl-py==0.11.0=pypi_0
- jmespath==0.10.0=pypi_0
- papermill==2.3.3=pypi_0
- nda-tools==0.2.8=pypi_0
- tomli==1.2.1=pypi_0
- python-graphviz==0.18.2=pypi_0
- install==1.3.4=pypi_0
- opencv-python==4.5.1.48=pypi_0
- docutils==0.15.2=pypi_0
- joblib==1.0.1=pypi_0
- s3transfer==0.5.0=pypi_0
- asttokens==2.0.5=pypi_0
- transforms3d==0.3.1=pypi_0
- pydot==1.4.2=pypi_0
- pytools==2021.1.2=pypi_0
- nipype==1.7.0=pypi_0
- platformdirs==2.3.0=pypi_0
- niworkflows==1.1.12=pypi_0
- ipython==7.10.0=pypi_0
- gensim==4.1.2=pypi_0
- astor==0.8.1=pypi_0
- xvfbwrapper==0.2.9=pypi_0
- keras-preprocessing==1.1.2=pypi_0
- black==21.8b0=pypi_0
- pyasn1==0.4.8=pypi_0
- hdbscan==0.8.27=pypi_0
- plotly==4.14.0=pypi_0
- keras==2.6.0=pypi_0
- pyrcca==0.2=pypi_0
- h5py==3.1.0=pypi_0
- appdirs==1.4.4=pypi_0
- pybids==0.14.0=pypi_0
- scikit-learn==1.0.1=pypi_0
- chart-studio==1.1.0=pypi_0
- flatbuffers==1.12=pypi_0
- mypy-extensions==0.4.3=pypi_0
- tensorflow-estimator==2.5.0=pypi_0
- nibabel==3.2.1=pypi_0
- botocore==1.20.73=pypi_0
- fabric==2.6.0=pypi_0
- bcrypt==3.2.0=pypi_0
- cachetools==4.1.1=pypi_0
- tensorboard==2.6.0=pypi_0
- karateclub==1.2.2=pypi_0
- num2words==0.5.10=pypi_0
- umap-learn==0.4.6=pypi_0
- templateflow==0.7.2=pypi_0
- markdown==3.3.3=pypi_0
Current channels:
- https://repo.anaconda.com/pkgs/main/linux-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/linux-64
- https://repo.anaconda.com/pkgs/r/noarch
- https://conda.anaconda.org/conda-forge/linux-64
- https://conda.anaconda.org/conda-forge/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.按照PackagesNotFoundError:以下软件包无法从当前频道获得：上的说明，我尝试了conda config --append channels conda-forge，然后再次创建它，但仍然无法工作。
而且，numpy没有出现在频道中似乎很奇怪，因为它似乎是一个相当受欢迎的包。
有人能解释我怎么解决这个问题吗？提前谢谢你！
====UPDATE===按照重复问题的答案，我尝试了sed -e 's/=pypi_0//' requirements.txt > reqs.nopip.txt并做了conda env create -n CHA_cVAE -f reqs.nopip.txt，但是出现了以下错误：
Collecting package metadata (repodata.json): done
Solving environment: failed
ResolvePackageNotFound:
- niworkflows=1.1.12
- farneback3d=0.1.3
- tensorboard-data-server=0.6.1
- mypy-extensions=0.4.3
- nda-tools=0.2.8
- pyrcca=0.2
- tensorflow-gpu=2.3.1
- nvidia-smi=0.1.3
- node2vec=0.4.3
- opt-einsum=3.3.0
- templateflow=0.7.2
- bids-validator=1.8.4
- pybids=0.14.0
- install=1.3.4
- opencv-python=4.5.1.48
- interface-meta=1.2.4
- smart-open=5.2.1
- clang=5.0
- mriqc=0.16.1
- keras-nightly=2.5.0.dev2021032900
- tf-estimator-nightly=2.5.0.dev2020120701
- tb-nightly=2.5.0a20201207
- nvidia-ml-py3=7.352.0
- karateclub=1.2.2
- sorcery=0.2.1
- antspyx=0.2.4
- sklearn=0.0
- tf-nightly=2.5.0.dev20201207回答 1
Stack Overflow用户
回答已采纳
发布于 2022-07-20 22:19:14
虽然这主要是这个问题的复本，但是对于这个存储库提供的文件来说，还有一些额外的复杂问题。最后，我无法在GitHub运行程序上构建它，但这可能是由于缺乏CUDA库--不确定。
使用这个答案中的转换脚本(Conda 这个答案到YAML)，我将得到一个YAML文件。然而，这需要一些手动调整，这一点在下面的文件中有注释。
我试过的最后一次跑未能安装pycuda，这可能是因为GitHub Linux运行程序缺乏CUDA支持。
最后，我鼓励OP和其他关注在存储库上畅所欲言可重现性的用户。使用了tensorflow和keras的夜间构建使得精确的可再现性变得困难，因为其中一些不存在于PyPI存储库中。
pub-cvae-mri-asd.full.yaml (GitHub)
channels:
- defaults
dependencies:
- _ipyw_jlab_nb_ext_conf=0.1.0=py38_0
- _libgcc_mutex=0.1=main
- alabaster=0.7.12=py_0
- anaconda=2020.11=py38_0
- anaconda-client=1.7.2=py38_0
- anaconda-navigator=1.10.0=py38_0
- anaconda-project=0.8.4=py_0
- argh=0.26.2=py38_0
- argon2-cffi=20.1.0=py38h7b6447c_1
- asn1crypto=1.4.0=py_0
- astroid=2.4.2=py38_0
- astropy=4.0.2=py38h7b6447c_0
- async_generator=1.10=py_0
- atomicwrites=1.4.0=py_0
- attrs=20.3.0=pyhd3eb1b0_0
- autopep8=1.5.4=py_0
- babel=2.8.1=pyhd3eb1b0_0
- backcall=0.2.0=py_0
- backports=1.0=py_2
- backports.functools_lru_cache=1.6.1=pyhd3eb1b0_0
- backports.shutil_get_terminal_size=1.0.0=py38_2
- backports.tempfile=1.0=pyhd3eb1b0_1
- backports.weakref=1.0.post1=py_1
- beautifulsoup4=4.9.3=pyhb0f4dca_0
- bitarray=1.6.1=py38h27cfd23_0
- bkcharts=0.2=py38_0
- blas=1.0=mkl
- bleach=3.2.1=py_0
- blosc=1.20.1=hd408876_0
- bokeh=2.2.3=py38_0
- boto=2.49.0=py38_0
- bottleneck=1.3.2=py38heb32a55_1
- brotlipy=0.7.0=py38h7b6447c_1000
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2020.10.14=0
- cairo=1.14.12=h8948797_3
- certifi=2020.6.20=pyhd3eb1b0_3
- cffi=1.14.3=py38he30daa8_0
- chardet=3.0.4=py38_1003
- click=7.1.2=py_0
- cloudpickle=1.6.0=py_0
- clyent=1.2.2=py38_1
- colorcet=2.0.6=pyhd8ed1ab_0
- conda=4.9.2=py38h578d9bd_0
- conda-build=3.20.5=py38_1
- conda-env=2.6.0=1
- conda-package-handling=1.7.2=py38h03888b9_0
- conda-verify=3.4.2=py_1
- contextlib2=0.6.0.post1=py_0
- cryptography=3.1.1=py38h1ba5d50_0
- curl=7.71.1=hbc83047_1
- cycler=0.10.0=py38_0
- cython=0.29.21=py38he6710b0_0
- cytoolz=0.11.0=py38h7b6447c_0
- dask=2.30.0=py_0
- dask-core=2.30.0=py_0
- datashader=0.12.0=pyhd3deb0d_0
- datashape=0.5.4=py_1
- dbus=1.13.18=hb2f20db_0
- decorator=4.4.2=py_0
- defusedxml=0.6.0=py_0
- descartes=1.1.0=py_4
- diff-match-patch=20200713=py_0
- distributed=2.30.1=py38h06a4308_0
- entrypoints=0.3=py38_0
- et_xmlfile=1.0.1=py_1001
- expat=2.2.10=he6710b0_2
- fastcache=1.1.0=py38h7b6447c_0
- filelock=3.0.12=py_0
- flake8=3.8.4=py_0
- flask=1.1.2=py_0
- fontconfig=2.13.0=h9420a91_0
- freetype=2.10.4=h5ab3b9f_0
- fribidi=1.0.10=h7b6447c_0
- fsspec=0.8.3=py_0
- future=0.18.2=py38_1
- get_terminal_size=1.0.0=haa9412d_0
- gevent=20.9.0=py38h7b6447c_0
- glib=2.66.1=h92f7085_0
- glob2=0.7=py_0
- gmp=6.1.2=h6c8ec71_1
- gmpy2=2.0.8=py38hd5f6e3b_3
- graphite2=1.3.14=h23475e2_0
- greenlet=0.4.17=py38h7b6447c_0
- gst-plugins-base=1.14.0=hbbd80ab_1
- gstreamer=1.14.0=hb31296c_0
- harfbuzz=2.4.0=hca77d97_1
- hdf5=1.10.4=hb1b8bf9_0
- heapdict=1.0.1=py_0
- html5lib=1.1=py_0
- icu=58.2=he6710b0_3
- idna=2.10=py_0
- imageio=2.9.0=py_0
- imagesize=1.2.0=py_0
- importlib-metadata=2.0.0=py_1
- importlib_metadata=2.0.0=1
- iniconfig=1.1.1=py_0
- intel-openmp=2020.2=254
- intervaltree=3.1.0=py_0
- ipython_genutils=0.2.0=py38_0
- ipywidgets=7.5.1=py_1
- isort=5.6.4=py_0
- itsdangerous=1.1.0=py_0
- jbig=2.1=hdba287a_0
- jdcal=1.4.1=py_0
- jedi=0.17.1=py38_0
- jeepney=0.5.0=pyhd3eb1b0_0
- jinja2=2.11.2=py_0
- jpeg=9b=h024ee3a_2
- json5=0.9.5=py_0
- jsonschema=3.2.0=py_2
- jupyter=1.0.0=py38_7
- jupyter_client=6.1.7=py_0
- jupyter_console=6.2.0=py_0
- jupyter_core=4.6.3=py38_0
- jupyterlab=2.2.6=py_0
- jupyterlab_pygments=0.1.2=py_0
- jupyterlab_server=1.2.0=py_0
- keyring=21.4.0=py38_1
- kiwisolver=1.3.0=py38h2531618_0
- krb5=1.18.2=h173b8e3_0
- lazy-object-proxy=1.4.3=py38h7b6447c_0
- lcms2=2.11=h396b838_0
- ld_impl_linux-64=2.33.1=h53a641e_7
- libarchive=3.4.2=h62408e4_0
- libcurl=7.71.1=h20c2e04_1
- libedit=3.1.20191231=h14c3975_1
- libffi=3.3=he6710b0_2
- libgcc-ng=9.1.0=hdf63c60_0
- libgfortran-ng=7.3.0=hdf63c60_0
- liblief=0.10.1=he6710b0_0
- libllvm10=10.0.1=hbcb73fb_5
- libpng=1.6.37=hbc83047_0
- libsodium=1.0.18=h7b6447c_0
- libspatialindex=1.9.3=he6710b0_0
- libssh2=1.9.0=h1ba5d50_1
- libstdcxx-ng=9.1.0=hdf63c60_0
- libtiff=4.1.0=h2733197_1
- libtool=2.4.6=h7b6447c_1005
- libuuid=1.0.3=h1bed415_2
- libxcb=1.14=h7b6447c_0
- libxml2=2.9.10=hb55368b_3
- libxslt=1.1.34=hc22bd24_0
- littleutils=0.2.2=py_0
- llvmlite=0.34.0=py38h269e1b5_4
- locket=0.2.0=py38_1
- lxml=4.6.1=py38hefd8a0e_0
- lz4-c=1.9.2=heb0550a_3
- lzo=2.10=h7b6447c_2
- markupsafe=1.1.1=py38h7b6447c_0
- matplotlib=3.3.2=0
- matplotlib-base=3.3.2=py38h817c723_0
- mccabe=0.6.1=py38_1
- mistune=0.8.4=py38h7b6447c_1000
- mizani=0.7.2=pyhd8ed1ab_0
- mkl=2020.2=256
- mkl-service=2.3.0=py38he904b0f_0
- mkl_fft=1.2.0=py38h23d657b_0
- mkl_random=1.1.1=py38h0573a6f_0
- mock=4.0.2=py_0
- more-itertools=8.6.0=pyhd3eb1b0_0
- mpc=1.1.0=h10f8cd9_1
- mpfr=4.0.2=hb69a4c5_1
- mpmath=1.1.0=py38_0
- msgpack-python=1.0.0=py38hfd86e86_1
- multipledispatch=0.6.0=py38_0
- navigator-updater=0.2.1=py38_0
- nbclient=0.5.1=py_0
- nbconvert=6.0.7=py38_0
- ncurses=6.2=he6710b0_1
- nest-asyncio=1.4.2=pyhd3eb1b0_0
- networkx=2.5=py_0
- nltk=3.5=py_0
- nose=1.3.7=py38_2
- notebook=6.1.4=py38_0
- numba=0.51.2=py38h0573a6f_1
- numexpr=2.7.1=py38h423224d_0
- numpydoc=1.1.0=pyhd3eb1b0_1
- olefile=0.46=py_0
- openpyxl=3.0.5=py_0
- openssl=1.1.1h=h7b6447c_0
- outdated=0.2.0=py_0
- packaging=20.4=py_0
- palettable=3.3.0=py_0
- pandas=1.1.3=py38he6710b0_0
- pandas-flavor=0.2.0=py_0
- pandoc=2.11=hb0f4dca_0
- pandocfilters=1.4.3=py38h06a4308_1
- pango=1.45.3=hd140c19_0
- param=1.10.1=pyhd3deb0d_0
- parso=0.7.0=py_0
- partd=1.1.0=py_0
- patchelf=0.12=he6710b0_0
- path=15.0.0=py38_0
- path.py=12.5.0=0
- pathlib2=2.3.5=py38_0
- pathtools=0.1.2=py_1
- patsy=0.5.1=py38_0
- pcre=8.44=he6710b0_0
- pep8=1.7.1=py38_0
- pexpect=4.8.0=py38_0
- pickleshare=0.7.5=py38_1000
- pillow=8.0.1=py38he98fc37_0
- pingouin=0.3.10=pyhd8ed1ab_0
- pixman=0.40.0=h7b6447c_0
- pkginfo=1.6.1=py38h06a4308_0
- plotnine=0.7.1=py_0
- pluggy=0.13.1=py38_0
- ply=3.11=py38_0
- prometheus_client=0.8.0=py_0
- prompt-toolkit=3.0.8=py_0
- prompt_toolkit=3.0.8=0
- psutil=5.7.2=py38h7b6447c_0
- ptyprocess=0.6.0=py38_0
- py=1.9.0=py_0
- py-lief=0.10.1=py38h403a769_0
- pycodestyle=2.6.0=py_0
- pycosat=0.6.3=py38h7b6447c_1
- pycparser=2.20=py_2
- pyct=0.4.6=py_0
- pyct-core=0.4.6=py_0
- pycurl=7.43.0.6=py38h1ba5d50_0
- pydocstyle=5.1.1=py_0
- pyflakes=2.2.0=py_0
- pygments=2.7.2=pyhd3eb1b0_0
- pylint=2.6.0=py38_0
- pynndescent=0.5.1=pyhd3deb0d_0
- pyodbc=4.0.30=py38he6710b0_0
- pyopenssl=19.1.0=py_1
- pyparsing=2.4.7=py_0
- pyqt=5.9.2=py38h05f1152_4
- pyrsistent=0.17.3=py38h7b6447c_0
- pysocks=1.7.1=py38_0
- pytables=3.6.1=py38h9fd0a39_0
- python=3.8.5=h7579374_1
- python-dateutil=2.8.1=py_0
- python-jsonrpc-server=0.4.0=py_0
- python-language-server=0.35.1=py_0
- python-libarchive-c=2.9=py_0
- python_abi=3.8=1_cp38
- pytz=2020.1=py_0
- pywavelets=1.1.1=py38h7b6447c_2
- pyxdg=0.27=pyhd3eb1b0_0
- pyyaml=5.3.1=py38h7b6447c_1
- pyzmq=19.0.2=py38he6710b0_1
- qdarkstyle=2.8.1=py_0
- qt=5.9.7=h5867ecd_1
- qtawesome=1.0.1=py_0
- qtconsole=4.7.7=py_0
- qtpy=1.9.0=py_0
- readline=8.0=h7b6447c_0
- regex=2020.10.15=py38h7b6447c_0
- requests=2.24.0=py_0
- retrying=1.3.3=py_2
- ripgrep=12.1.1=0
- rope=0.18.0=py_0
- rtree=0.9.4=py38_1
- ruamel_yaml=0.15.87=py38h7b6447c_1
- scikit-image=0.17.2=py38hdf5156a_0
- scipy=1.5.2=py38h0b6359f_0
- seaborn=0.11.0=py_0
- secretstorage=3.1.2=py38_0
- send2trash=1.5.0=py38_0
- setuptools=50.3.1=py38h06a4308_1
- simplegeneric=0.8.1=py38_2
- singledispatch=3.4.0.3=py_1001
- sip=4.19.13=py38he6710b0_0
- six=1.15.0=py38h06a4308_0
- snowballstemmer=2.0.0=py_0
- sortedcollections=1.2.1=py_0
- sortedcontainers=2.2.2=py_0
- soupsieve=2.0.1=py_0
- sphinx=3.2.1=py_0
- sphinxcontrib=1.0=py38_1
- sphinxcontrib-applehelp=1.0.2=py_0
- sphinxcontrib-devhelp=1.0.2=py_0
- sphinxcontrib-htmlhelp=1.0.3=py_0
- sphinxcontrib-jsmath=1.0.1=py_0
- sphinxcontrib-qthelp=1.0.3=py_0
- sphinxcontrib-serializinghtml=1.1.4=py_0
- sphinxcontrib-websupport=1.2.4=py_0
- spyder=4.1.5=py38_0
- spyder-kernels=1.9.4=py38_0
- sqlalchemy=1.3.20=py38h7b6447c_0
- sqlite=3.33.0=h62c20be_0
- statsmodels=0.12.0=py38h7b6447c_0
- sympy=1.6.2=py38h06a4308_1
- tabulate=0.8.9=pyhd8ed1ab_0
- tbb=2020.3=hfd86e86_0
- tblib=1.7.0=py_0
- terminado=0.9.1=py38_0
- testpath=0.4.4=py_0
- threadpoolctl=2.1.0=pyh5ca1d4c_0
- tifffile=2020.10.1=py38hdd07704_2
- tk=8.6.10=hbc83047_0
- toml=0.10.1=py_0
- toolz=0.11.1=py_0
- tornado=6.0.4=py38h7b6447c_1
- tqdm=4.50.2=py_0
- traitlets=5.0.5=py_0
- ujson=4.0.1=py38he6710b0_0
- unicodecsv=0.14.1=py38_0
- unixodbc=2.3.9=h7b6447c_0
- urllib3=1.25.11=py_0
- watchdog=0.10.3=py38_0
- wcwidth=0.2.5=py_0
- webencodings=0.5.1=py38_1
- werkzeug=1.0.1=py_0
- wheel=0.35.1=py_0
- widgetsnbextension=3.5.1=py38_0
- wurlitzer=2.0.1=py38_0
- xarray=0.16.2=pyhd8ed1ab_0
- xlrd=1.2.0=py_0
- xlsxwriter=1.3.7=py_0
- xlwt=1.3.0=py38_0
- xmltodict=0.12.0=py_0
- xz=5.2.5=h7b6447c_0
- yaml=0.2.5=h7b6447c_0
- yapf=0.30.0=py_0
- zeromq=4.3.3=he6710b0_3
- zict=2.0.0=py_0
- zipp=3.4.0=pyhd3eb1b0_0
- zlib=1.2.11=h7b6447c_3
- zope=1.0=py38_1
- zope.event=4.5.0=py38_0
- zope.interface=5.1.2=py38h7b6447c_0
- zstd=1.4.5=h9ceee32_0
- pip
- pip:
- absl-py==0.11.0
- ansiwrap==0.8.4
## EDIT: antspyx v0.2.4 is not on PyPI; using GitHub
- git+https://github.com/ANTsX/ANTsPy.git@v0.2.4
- appdirs==1.4.4
- astor==0.8.1
- asttokens==2.0.5
- astunparse==1.6.3
- awscli==1.19.73
- bcrypt==3.2.0
- bids-validator==1.8.4
- black==21.8b0
- boto3==1.18.6
- botocore==1.20.73
- cachetools==4.1.1
- chart-studio==1.1.0
- ci-info==0.2.0
- clang==5.0
- colorama==0.4.3
- dipy==1.4.1
- docopt==0.6.2
- docutils==0.15.2
- etelemetry==0.2.2
- executing==0.8.0
- fabric==2.6.0
- farneback3d==0.1.3
- flatbuffers==1.12
- formulaic==0.2.4
- gast==0.4.0
- gensim==4.1.2
- google-auth==1.23.0
- google-auth-oauthlib==0.4.2
- google-pasta==0.2.0
- grpcio==1.34.1
- h5py==3.1.0
- hdbscan==0.8.27
- imbalanced-learn==0.8.1
- install==1.3.4
- interface-meta==1.2.4
- invoke==1.5.0
- ipykernel==5.5.0
- ipython==7.10.0
- isodate==0.6.1
- jmespath==0.10.0
- joblib==1.0.1
- karateclub==1.2.2
- keras==2.6.0
## EDIT: Ignore nightlies
# - keras-nightly==2.5.0.dev2021032900
- keras-preprocessing==1.1.2
- mako==1.1.4
- markdown==3.3.3
- mriqc==0.16.1
- mypy-extensions==0.4.3
- nbformat==5.1.3
- nda-tools==0.2.8
- nibabel==3.2.1
- nipype==1.7.0
- nitime==0.9
- niworkflows==1.1.12
- node2vec==0.4.3
- num2words==0.5.10
- numpy==1.19.5
- nvidia-ml-py3==7.352.0
- nvidia-smi==0.1.3
- oauthlib==3.1.0
- opencv-python==4.5.1.48
- opt-einsum==3.3.0
- papermill==2.3.3
- paramiko==2.7.2
- pathspec==0.9.0
- platformdirs==2.3.0
- plotly==4.14.0
- prettytable==2.1.0
- protobuf==3.14.0
- prov==2.0.0
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- pybids==0.14.0
- pycuda==2020.1
- pydot==1.4.2
- pygsp==0.5.1
- pynacl==1.4.0
- pyrcca==0.2
- pytest==6.2.5
## EDIT: changed 'python-graphviz' to 'graphviz'
## see https://github.com/conda/conda/issues/10742
- graphviz==0.18.2
- python-levenshtein==0.12.2
- python-louvain==0.15
- pytools==2021.1.2
- rdflib==6.1.1
- requests-oauthlib==1.3.0
- rsa==4.6
- s3transfer==0.5.0
- scikit-learn==1.0.1
- simplejson==3.17.6
- sklearn==0.0
- smart-open==5.2.1
- sorcery==0.2.1
- svgutils==0.3.1
## EDIT: Ignore nightlies
# - tb-nightly==2.5.0a20201207
- templateflow==0.7.2
- tenacity==8.0.1
- tensorboard==2.6.0
- tensorboard-data-server==0.6.1
- tensorboard-plugin-wit==1.7.0
- tensorflow==2.5.0
- tensorflow-estimator==2.5.0
- tensorflow-gpu==2.3.1
- termcolor==1.1.0
- textwrap3==0.9.2
## EDIT: Ignore nightlies
# - tf-estimator-nightly==2.5.0.dev2020120701
# - tf-nightly==2.5.0.dev20201207
- tomli==1.2.1
- traits==6.3.2
- transforms3d==0.3.1
- typing-extensions==4.0.1
- umap-learn==0.4.6
- webcolors==1.11.1
- wrapt==1.12.1
- xgboost==1.5.1
- xvfbwrapper==0.2.9 页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/72975169
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