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a b/environment.yml
1
name: medi
2
channels:
3
  - pytorch
4
  - plotly
5
  - nvidia
6
  - conda-forge
7
  - defaults
8
dependencies:
9
  - _libgcc_mutex=0.1=conda_forge
10
  - _openmp_mutex=4.5=2_gnu
11
  - absl-py=1.3.0=py38h06a4308_0
12
  - anyio=3.5.0=py38h06a4308_0
13
  - argon2-cffi=21.3.0=pyhd3eb1b0_0
14
  - argon2-cffi-bindings=21.2.0=py38h7f8727e_0
15
  - asttokens=2.0.5=pyhd3eb1b0_0
16
  - attrs=22.1.0=py38h06a4308_0
17
  - babel=2.11.0=py38h06a4308_0
18
  - backcall=0.2.0=pyhd3eb1b0_0
19
  - backports=1.1=pyhd3eb1b0_0
20
  - backports.functools_lru_cache=1.6.4=pyhd3eb1b0_0
21
  - beautifulsoup4=4.11.1=py38h06a4308_0
22
  - blas=1.0=mkl
23
  - bleach=4.1.0=pyhd3eb1b0_0
24
  - brotli=1.0.9=h5eee18b_7
25
  - brotli-bin=1.0.9=h5eee18b_7
26
  - brotlipy=0.7.0=py38h27cfd23_1003
27
  - bzip2=1.0.8=h7b6447c_0
28
  - ca-certificates=2023.01.10=h06a4308_0
29
  - certifi=2022.12.7=py38h06a4308_0
30
  - cffi=1.15.1=py38h74dc2b5_0
31
  - charset-normalizer=2.0.4=pyhd3eb1b0_0
32
  - click=8.0.4=py38h06a4308_0
33
  - cloudpickle=2.0.0=pyhd3eb1b0_0
34
  - comm=0.1.2=py38h06a4308_0
35
  - contourpy=1.0.5=py38hdb19cb5_0
36
  - cryptography=38.0.4=py38h9ce1e76_0
37
  - cuda=11.6.1=0
38
  - cuda-cccl=11.6.55=hf6102b2_0
39
  - cuda-command-line-tools=11.6.2=0
40
  - cuda-compiler=11.6.2=0
41
  - cuda-cudart=11.6.55=he381448_0
42
  - cuda-cudart-dev=11.6.55=h42ad0f4_0
43
  - cuda-cuobjdump=11.6.124=h2eeebcb_0
44
  - cuda-cupti=11.6.124=h86345e5_0
45
  - cuda-cuxxfilt=11.6.124=hecbf4f6_0
46
  - cuda-driver-dev=11.6.55=0
47
  - cuda-gdb=12.0.140=0
48
  - cuda-libraries=11.6.1=0
49
  - cuda-libraries-dev=11.6.1=0
50
  - cuda-memcheck=11.8.86=0
51
  - cuda-nsight=12.0.140=0
52
  - cuda-nsight-compute=12.0.1=0
53
  - cuda-nvcc=11.6.124=hbba6d2d_0
54
  - cuda-nvdisasm=12.0.140=0
55
  - cuda-nvml-dev=11.6.55=haa9ef22_0
56
  - cuda-nvprof=12.0.146=0
57
  - cuda-nvprune=11.6.124=he22ec0a_0
58
  - cuda-nvrtc=11.6.124=h020bade_0
59
  - cuda-nvrtc-dev=11.6.124=h249d397_0
60
  - cuda-nvtx=11.6.124=h0630a44_0
61
  - cuda-nvvp=12.0.146=0
62
  - cuda-runtime=11.6.1=0
63
  - cuda-samples=11.6.101=h8efea70_0
64
  - cuda-sanitizer-api=12.0.140=0
65
  - cuda-toolkit=11.6.1=0
66
  - cuda-tools=11.6.1=0
67
  - cuda-visual-tools=11.6.1=0
68
  - cudatoolkit=11.3.1=h2bc3f7f_2
69
  - cycler=0.11.0=pyhd3eb1b0_0
70
  - debugpy=1.5.1=py38h295c915_0
71
  - decorator=5.1.1=pyhd3eb1b0_0
72
  - defusedxml=0.7.1=pyhd3eb1b0_0
73
  - dm-tree=0.1.7=py38h6a678d5_1
74
  - entrypoints=0.4=py38h06a4308_0
75
  - executing=0.8.3=pyhd3eb1b0_0
76
  - ffmpeg=4.2.2=h20bf706_0
77
  - fftw=3.3.9=h27cfd23_1
78
  - filelock=3.9.0=py38h06a4308_0
79
  - flit-core=3.6.0=pyhd3eb1b0_0
80
  - freetype=2.11.0=h70c0345_0
81
  - future=0.18.2=py38_1
82
  - gast=0.5.3=pyhd3eb1b0_0
83
  - gds-tools=1.5.1.14=0
84
  - giflib=5.2.1=h5eee18b_1
85
  - gmp=6.2.1=h295c915_3
86
  - gnutls=3.6.15=he1e5248_0
87
  - huggingface_hub=0.10.1=py38h06a4308_0
88
  - icu=58.2=he6710b0_3
89
  - idna=3.4=py38h06a4308_0
90
  - importlib_metadata=4.11.3=hd3eb1b0_0
91
  - importlib_resources=5.2.0=pyhd3eb1b0_1
92
  - intel-openmp=2021.4.0=h06a4308_3561
93
  - ipykernel=6.19.2=py38hb070fc8_0
94
  - ipython=8.10.0=py38h06a4308_0
95
  - ipython_genutils=0.2.0=pyhd3eb1b0_1
96
  - ipywidgets=7.6.5=pyhd3eb1b0_1
97
  - jedi=0.18.1=py38h06a4308_1
98
  - jinja2=3.1.2=py38h06a4308_0
99
  - jpeg=9e=h7f8727e_0
100
  - json5=0.9.6=pyhd3eb1b0_0
101
  - jsonschema=4.17.3=py38h06a4308_0
102
  - jupyter_client=7.4.9=py38h06a4308_0
103
  - jupyter_core=5.2.0=py38h06a4308_0
104
  - jupyter_server=1.23.4=py38h06a4308_0
105
  - jupyterlab=3.5.3=py38h06a4308_0
106
  - jupyterlab_pygments=0.1.2=py_0
107
  - jupyterlab_server=2.16.5=py38h06a4308_0
108
  - jupyterlab_widgets=1.0.0=pyhd3eb1b0_1
109
  - kiwisolver=1.4.4=py38h6a678d5_0
110
  - lame=3.100=h7b6447c_0
111
  - lcms2=2.12=h3be6417_0
112
  - ld_impl_linux-64=2.38=h1181459_1
113
  - lerc=3.0=h295c915_0
114
  - libbrotlicommon=1.0.9=h5eee18b_7
115
  - libbrotlidec=1.0.9=h5eee18b_7
116
  - libbrotlienc=1.0.9=h5eee18b_7
117
  - libcublas=11.9.2.110=h5e84587_0
118
  - libcublas-dev=11.9.2.110=h5c901ab_0
119
  - libcufft=10.7.1.112=hf425ae0_0
120
  - libcufft-dev=10.7.1.112=ha5ce4c0_0
121
  - libcufile=1.5.1.14=0
122
  - libcufile-dev=1.5.1.14=0
123
  - libcurand=10.3.1.124=0
124
  - libcurand-dev=10.3.1.124=0
125
  - libcusolver=11.3.4.124=h33c3c4e_0
126
  - libcusparse=11.7.2.124=h7538f96_0
127
  - libcusparse-dev=11.7.2.124=hbbe9722_0
128
  - libdeflate=1.8=h7f8727e_5
129
  - libffi=3.3=he6710b0_2
130
  - libgcc-ng=12.1.0=h8d9b700_16
131
  - libgfortran-ng=11.2.0=h00389a5_1
132
  - libgfortran5=11.2.0=h1234567_1
133
  - libgomp=12.1.0=h8d9b700_16
134
  - libiconv=1.16=h7f8727e_2
135
  - libidn2=2.3.2=h7f8727e_0
136
  - libnpp=11.6.3.124=hd2722f0_0
137
  - libnpp-dev=11.6.3.124=h3c42840_0
138
  - libnsl=2.0.0=h5eee18b_0
139
  - libnvjpeg=11.6.2.124=hd473ad6_0
140
  - libnvjpeg-dev=11.6.2.124=hb5906b9_0
141
  - libopus=1.3.1=h7b6447c_0
142
  - libpng=1.6.37=hbc83047_0
143
  - libprotobuf=3.20.1=h4ff587b_0
144
  - libsodium=1.0.18=h7b6447c_0
145
  - libsqlite=3.39.2=h753d276_1
146
  - libstdcxx-ng=11.2.0=h1234567_1
147
  - libtasn1=4.16.0=h27cfd23_0
148
  - libtiff=4.4.0=hecacb30_0
149
  - libunistring=0.9.10=h27cfd23_0
150
  - libuuid=1.41.5=h5eee18b_0
151
  - libvpx=1.7.0=h439df22_0
152
  - libwebp=1.2.4=h11a3e52_0
153
  - libwebp-base=1.2.4=h5eee18b_0
154
  - libxml2=2.9.14=h74e7548_0
155
  - libxslt=1.1.35=h4e12654_0
156
  - libzlib=1.2.12=h166bdaf_2
157
  - lxml=4.9.1=py38h1edc446_0
158
  - lz4-c=1.9.4=h6a678d5_0
159
  - markupsafe=2.1.1=py38h7f8727e_0
160
  - matplotlib-base=3.6.2=py38h945d387_0
161
  - matplotlib-inline=0.1.6=py38h06a4308_0
162
  - mistune=2.0.4=py38h06a4308_0
163
  - mkl=2021.4.0=h06a4308_640
164
  - mkl-service=2.4.0=py38h7f8727e_0
165
  - mkl_fft=1.3.1=py38hd3c417c_0
166
  - mkl_random=1.2.2=py38h51133e4_0
167
  - mnist=0.2.2=py_0
168
  - munkres=1.1.4=py_0
169
  - nbclassic=0.4.8=py38h06a4308_0
170
  - nbclient=0.5.13=py38h06a4308_0
171
  - nbconvert=7.0.0=pyhd8ed1ab_0
172
  - nbconvert-core=7.0.0=pyhd8ed1ab_0
173
  - nbconvert-pandoc=7.0.0=pyhd8ed1ab_0
174
  - nbformat=5.7.0=py38h06a4308_0
175
  - ncurses=6.4=h6a678d5_0
176
  - nest-asyncio=1.5.6=py38h06a4308_0
177
  - nettle=3.7.3=hbbd107a_1
178
  - ninja=1.10.2=h06a4308_5
179
  - ninja-base=1.10.2=hd09550d_5
180
  - nltk=3.7=pyhd3eb1b0_0
181
  - nose=1.3.7=pyhd3eb1b0_1008
182
  - notebook=6.5.2=py38h06a4308_0
183
  - notebook-shim=0.2.2=py38h06a4308_0
184
  - nsight-compute=2022.4.1.6=0
185
  - openh264=2.1.1=h4ff587b_0
186
  - openssl=1.1.1t=h7f8727e_0
187
  - packaging=22.0=py38h06a4308_0
188
  - pandoc=2.12=h06a4308_1
189
  - pandocfilters=1.5.0=pyhd3eb1b0_0
190
  - parso=0.8.3=pyhd3eb1b0_0
191
  - pexpect=4.8.0=pyhd3eb1b0_3
192
  - pickleshare=0.7.5=pyhd3eb1b0_1003
193
  - pip=22.3.1=py38h06a4308_0
194
  - pkgutil-resolve-name=1.3.10=py38h06a4308_0
195
  - platformdirs=2.5.2=py38h06a4308_0
196
  - plotly=5.13.1=py_0
197
  - pooch=1.4.0=pyhd3eb1b0_0
198
  - prometheus_client=0.14.1=py38h06a4308_0
199
  - prompt-toolkit=3.0.36=py38h06a4308_0
200
  - psutil=5.9.0=py38h5eee18b_0
201
  - ptyprocess=0.7.0=pyhd3eb1b0_2
202
  - pure_eval=0.2.2=pyhd3eb1b0_0
203
  - pycodestyle=2.10.0=py38h06a4308_0
204
  - pycparser=2.21=pyhd3eb1b0_0
205
  - pygments=2.11.2=pyhd3eb1b0_0
206
  - pyopenssl=22.0.0=pyhd3eb1b0_0
207
  - pyparsing=3.0.9=py38h06a4308_0
208
  - pyrsistent=0.18.0=py38heee7806_0
209
  - pysocks=1.7.1=py38h06a4308_0
210
  - python=3.8.13=haa1d7c7_1
211
  - python-dateutil=2.8.2=pyhd3eb1b0_0
212
  - python-fastjsonschema=2.16.2=py38h06a4308_0
213
  - python_abi=3.8=2_cp38
214
  - pytorch=1.13.1=py3.8_cuda11.6_cudnn8.3.2_0
215
  - pytorch-cuda=11.6=h867d48c_1
216
  - pytorch-mutex=1.0=cuda
217
  - pytz=2022.7=py38h06a4308_0
218
  - pyyaml=6.0=py38h5eee18b_1
219
  - pyzmq=23.2.0=py38h6a678d5_0
220
  - readline=8.2=h5eee18b_0
221
  - regex=2022.7.9=py38h5eee18b_0
222
  - requests=2.28.1=py38h06a4308_0
223
  - send2trash=1.8.0=pyhd3eb1b0_1
224
  - six=1.16.0=pyhd3eb1b0_1
225
  - sniffio=1.2.0=py38h06a4308_1
226
  - soupsieve=2.3.2.post1=py38h06a4308_0
227
  - sqlite=3.39.3=h5082296_0
228
  - stack_data=0.2.0=pyhd3eb1b0_0
229
  - tenacity=8.0.1=py38h06a4308_1
230
  - tensorflow-probability=0.14.0=pyhd3eb1b0_0
231
  - terminado=0.17.1=py38h06a4308_0
232
  - timm=0.6.12=pyhd8ed1ab_0
233
  - tinycss2=1.2.1=py38h06a4308_0
234
  - tk=8.6.12=h1ccaba5_0
235
  - tomli=2.0.1=py38h06a4308_0
236
  - torchaudio=0.13.1=py38_cu116
237
  - torchvision=0.14.1=py38_cu116
238
  - tornado=6.2=py38h5eee18b_0
239
  - traitlets=5.7.1=py38h06a4308_0
240
  - typing-extensions=4.4.0=py38h06a4308_0
241
  - typing_extensions=4.4.0=py38h06a4308_0
242
  - urllib3=1.26.14=py38h06a4308_0
243
  - wcwidth=0.2.5=pyhd3eb1b0_0
244
  - webencodings=0.5.1=py38_1
245
  - websocket-client=0.58.0=py38h06a4308_4
246
  - wheel=0.38.4=py38h06a4308_0
247
  - widgetsnbextension=3.5.2=py38h06a4308_0
248
  - x264=1!157.20191217=h7b6447c_0
249
  - xz=5.2.10=h5eee18b_1
250
  - yaml=0.2.5=h7b6447c_0
251
  - zeromq=4.3.4=h2531618_0
252
  - zlib=1.2.12=h7f8727e_2
253
  - zstd=1.5.2=ha4553b6_0
254
  - pip:
255
    - appdirs==1.4.4
256
    - brewer2mpl==1.4.1
257
    - fonttools==4.37.1
258
    - h5py==3.7.0
259
    - imageio==2.21.1
260
    - importlib-metadata==6.1.0
261
    - joblib==1.2.0
262
    - jupyter-http-over-ws==0.0.8
263
    - llvmlite==0.39.1
264
    - lock==2018.3.25.2110
265
    - matplotlib==3.5.3
266
    - networkx==2.8.6
267
    - numba==0.56.4
268
    - numpy==1.23.2
269
    - opencv-python==4.7.0.68
270
    - pandas==1.5.3
271
    - patsy==0.5.3
272
    - phasepack==1.5
273
    - pillow==9.2.0
274
    - pillow-simd==9.0.0.post1
275
    - pyfftw==0.13.1
276
    - pynndescent==0.5.8
277
    - pywavelets==1.3.0
278
    - scikit-image==0.19.3
279
    - scikit-learn==1.2.2
280
    - scipy==1.10.1
281
    - seaborn==0.11.2
282
    - setuptools==67.6.1
283
    - statsmodels==0.14.0
284
    - text-unidecode==1.3
285
    - threadpoolctl==3.1.0
286
    - tifffile==2022.8.12
287
    - torch-summary==1.4.5
288
    - torchattacks==3.3.0
289
    - torchinfo==1.7.2
290
    - tqdm==4.65.0
291
    - tzdata==2023.3
292
    - umap-learn==0.5.3
293
    - zipp==3.15.0