Wheelodex » Projects » metabci

metabci

View on PyPI — Reverse Dependencies (0)

0.1.2 metabci-0.1.2-py3-none-any.whl

Wheel Details

Project: metabci
Version: 0.1.2
Filename: metabci-0.1.2-py3-none-any.whl
Download: [link]
Size: 136154
MD5: 8fd419f587359c81ec5a83e2012f04bd
SHA256: 5176d65ae5304f39fea723aab39b29dc156db792d8acbfd6d357238dc13b499d
Uploaded: 2022-11-26 14:38:30 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: metabci
Version: 0.1.2
Summary: A Library of Datasets, Algorithms, and Experiments workflow for Brain-Computer Interface
Author: TBC-TJU
Author-Email: TBC_TJU_2022[at]163.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Dist: setuptools
Requires-Dist: wheel
Requires-Dist: twine
Requires-Dist: flake8
Requires-Dist: mypy
Requires-Dist: coverage
Requires-Dist: mat73
Requires-Dist: tqdm (>=4.32.0)
Requires-Dist: torch (>=1.7.1)
Requires-Dist: numpy
Requires-Dist: mne (>=0.21.1)
Requires-Dist: pandas
Requires-Dist: py7zr
Requires-Dist: joblib
Requires-Dist: autograd
Requires-Dist: scipy
Requires-Dist: pymanopt (==0.2.5)
Requires-Dist: requests
Requires-Dist: requests[socks]
Requires-Dist: pytest
Requires-Dist: h5py
Requires-Dist: scikit-learn
Requires-Dist: sphinxcontrib-napoleon
Requires-Dist: skorch
Requires-Dist: pooch
Requires-Dist: pylsl
Requires-Dist: psychopy (==2020.1.2)
Requires-Dist: wxPython (==4.1.1); sys_platform == "darwin" and python_version <= "3.8"
Requires-Dist: pyglet (==1.5.27); sys_platform == "darwin" and python_version <= "3.8"
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 5090 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
metabci/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
metabci/brainda/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
metabci/brainda/algorithms/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
metabci/brainda/algorithms/decomposition/SKLDA.py sha256=nYlKtTKw_VelMARsSfbHjyDVDvTsvreFz9J1aC0rlkQ 6617
metabci/brainda/algorithms/decomposition/STDA.py sha256=_H0WoCN8r9mWPoBl4PI56maDHBvRe71-QKxa4FK-Lnk 8237
metabci/brainda/algorithms/decomposition/__init__.py sha256=PVRXSs7SHrftSPGQu_O2Osibg3heh3HI8SoM419Ik6E 493
metabci/brainda/algorithms/decomposition/base.py sha256=w4udjYkk7fjcO00HDOOtcCy5COGZmhKpTRzuCOi-gIo 6688
metabci/brainda/algorithms/decomposition/cca.py sha256=Qw5Cx-CXkVPX20QWug4uiZejWqADuRazJqnlylCDJMg 34568
metabci/brainda/algorithms/decomposition/csp.py sha256=qORXYId9j6nUQIaSmp0w_sqdeq1yU5u8_tuEHwMFASs 29680
metabci/brainda/algorithms/decomposition/dsp.py sha256=CrgAdiGdWKbXiIx9K565Y6dnhDfTY26mxOzxDcF2fAk 17609
metabci/brainda/algorithms/decomposition/sscor.py sha256=s9NXYwF2WG1qybLaHu549Mco0_PJoYaP5s4Wu2H0IBc 8865
metabci/brainda/algorithms/decomposition/tdca.py sha256=nmcA9AnlbUMze6ILmGWOJWw9zuN-uvNjZbrMt-NPILc 5213
metabci/brainda/algorithms/deep_learning/__init__.py sha256=p7qtfIpGr2hDMKn38skTsSpqpAYk_fW5FfdPCq8kbPM 123
metabci/brainda/algorithms/deep_learning/base.py sha256=25vku-1bcnbmzaeUd9xRKXtwTIZVhXbN_AhHACUzE8M 13138
metabci/brainda/algorithms/deep_learning/convca.py sha256=5rxmL5GkjwnXkrX4BdKmIP_iplO6_s_usruyM4pZO-0 5739
metabci/brainda/algorithms/deep_learning/deepnet.py sha256=ZlUFoiVyKPuUb_9wQ0jLetx-8yzgjGKvcn9HHnOPctQ 9146
metabci/brainda/algorithms/deep_learning/eegnet.py sha256=VQq9E9k9w3lz5rrJHb5cPibuhmCBaSDzSXo55l2atJg 6276
metabci/brainda/algorithms/deep_learning/guney_net.py sha256=rsRZEJIcTul9t2ShtDtJVdgvR3OIju8-Rw63TKu-ZBU 4152
metabci/brainda/algorithms/deep_learning/shallownet.py sha256=2rpDPrLfUmUhbzVaUNbeZO8B4g459hZjOVp1bim9oKQ 3691
metabci/brainda/algorithms/feature_analysis/__init__.py sha256=mCCukHwWJIkn_94R1y7675Kwv29hPMfhO-NhDdETzeQ 139
metabci/brainda/algorithms/feature_analysis/freq_analysis.py sha256=agLKEWgOX5iqFFclVaT9R2-To1s53R6gJojQvGQROsk 6728
metabci/brainda/algorithms/feature_analysis/time_analysis.py sha256=e92960P8bt0GWUQu45mOpcgQGyzc45GfACVsV4p4QMg 11978
metabci/brainda/algorithms/feature_analysis/time_freq_analysis.py sha256=gXL0Lhp3lVUumTZHjsrtSuEryzFYCQ4srnj0-Tn5FZY 5810
metabci/brainda/algorithms/manifold/__init__.py sha256=QD-ZGfytVw-I26CePexg3o8CNBNIMqYQCuoLd84jrCA 363
metabci/brainda/algorithms/manifold/riemann.py sha256=BBBaCXsud6wxErV_EmJueWnvcPFQSINDiHqaocY2v4k 17112
metabci/brainda/algorithms/manifold/rpa.py sha256=QYz9Xkwm_fqpoZOtHkqTuaK7TmTc5WPbkwQoLons1LM 6316
metabci/brainda/algorithms/transfer_learning/__init__.py sha256=WZQNUEg4XvmsA4j8Q45Zx34l7k4KR7mkEVUnnYeMOmI 70
metabci/brainda/algorithms/transfer_learning/base.py sha256=ISFfNIsIwWc_n36DXwodVTo9E7woR9pl989ZN4zFPBQ 109
metabci/brainda/algorithms/transfer_learning/lst.py sha256=DC8Pe10o7UqCmx3hwC6gK5Qfo0-5guJfiV8flEcT87M 1218
metabci/brainda/algorithms/transfer_learning/mekt.py sha256=HwSi60wE2KSrPERqRRjaR8OHe1D3RoAfwvR_YhOCl6g 10715
metabci/brainda/algorithms/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
metabci/brainda/algorithms/utils/covariance.py sha256=2aMfxR1dqxLRfbIGLOqL0rTg0KmzIW79rqBmwSEift8 12522
metabci/brainda/algorithms/utils/model_selection.py sha256=q8joy_JkYHEsQDE8KtxFy-83px_FSFJy_rYM0NIB1yA 10635
metabci/brainda/datasets/__init__.py sha256=YYSSAYCeF9GNLPJgecXwzuudMKwTU-uGC3FCPjjpmmM 445
metabci/brainda/datasets/alex_mi.py sha256=6P9xg01xkNJJZux1d0qSSHRA52jKO0odwGiVRVIcIrY 3941
metabci/brainda/datasets/base.py sha256=iRrmVCVqECLoipMvxGEDntjMRYLupGsNkCa0F5hVqqM 7446
metabci/brainda/datasets/bnci.py sha256=94DctwJOcF0ZJiopMPLSOXzAqQfNC-0aQ3UTpOAyXFY 12934
metabci/brainda/datasets/cbcic.py sha256=He80iSnSKK-0ox1KRKWRCK8pJB0l2w17ZX6zyaF8EaE 9112
metabci/brainda/datasets/cho2017.py sha256=PozCdM5Q7WYD0QiPQDYf9kagE642ALb6HOKSUAJhXRQ 6536
metabci/brainda/datasets/munich2009.py sha256=fJGjb8I1PWnHFta3tQpfCXjKHjnBwe_h9aMCE9oCSns 5216
metabci/brainda/datasets/nakanishi2015.py sha256=lyoePlY27jr0TTr-Dk0ZKkTPsHPfiYgzzwWTDjUti3g 4474
metabci/brainda/datasets/physionet.py sha256=IMer2fZqp_reuDl9vYjmIXJRHRPFTGDUvIXx-hWIinQ 8068
metabci/brainda/datasets/schirrmeister2017.py sha256=uUgwffYHP8-8oR_ZniWNsan4c58OJzdN-j4R4T9ooUI 14199
metabci/brainda/datasets/tsinghua.py sha256=1LW0O4kissE_gssxiYmV8rSy3qj11vOhyOQcs5M5HGY 16793
metabci/brainda/datasets/tunerl.py sha256=BYj9cgV9OA6fiRl1tXYtn4NVK3owl_oj4_77iykKfXE 8318
metabci/brainda/datasets/zhou2016.py sha256=CB9xXDEA9KUC_vIiyLQSpLTX-1ah3_-NONqRVxrtK8U 4803
metabci/brainda/paradigms/__init__.py sha256=k_0TJcr5frsyfim7PgKlRUN_5BR-LBnKc_0vC7PCneM 113
metabci/brainda/paradigms/base.py sha256=GFZdfC6SIeReqJFnOAaCZtWzcwpRTDzzETnX8s5lcjk 14944
metabci/brainda/paradigms/imagery.py sha256=TRCDGY13zFQbURKriGCDRRVjL1OFG2mi_UqFvW-xVIw 387
metabci/brainda/paradigms/p300.py sha256=Ia3bp_yBgAkxzohTnGXO5iZj_c2CfE4xDy3Rqbe0ET8 325
metabci/brainda/paradigms/ssvep.py sha256=6qXFZ4D6weThkUuicRyihhmuVt7rlNOeAlG_QcXx7Q8 329
metabci/brainda/utils/__init__.py sha256=2ItumrWWNdfjM4F8KWrIHAb2kpgm26kqz6EJrPQjCvI 112
metabci/brainda/utils/channels.py sha256=5qnLg7ZWvzeqz2MV6limFsFE9mfllO-aqplHYRAElpA 1908
metabci/brainda/utils/download.py sha256=M92jDGeNdGzZqdZrDx6ubMMe1dmcUxEaHe1VQAGRl88 4924
metabci/brainda/utils/io.py sha256=c38tr38HNCNcHjqqbT0oLyt1ORrh8lBxe6njp_rVO7Y 2647
metabci/brainda/utils/performance.py sha256=Le7Cw6mnQS4GmnFdj9uRXi0lGw4NTm55iYpZPYZ6xKA 450
metabci/brainflow/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
metabci/brainflow/amplifiers.py sha256=PQ9bcOAXMdtrgKJpN0MhRylRLGtCwa2FeAmeO198sHs 12269
metabci/brainflow/logger.py sha256=waZmUWzP1baz6V3geAE2WOHJ603avanovvcYg8wvK04 852
metabci/brainflow/workers.py sha256=0uOwtI92pChsolhA5HpZ39jLNntglC5OhjwIL9u5sWw 3218
metabci/brainstim/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
metabci/brainstim/framework.py sha256=WGgJxYbUQ2h8ds79ddOgjfAfGWMpHISoEGlJCVVQTJM 10104
metabci/brainstim/paradigm.py sha256=2MeSFTwaDfyXEFIvxF6kvhMkdBgEu9aOilWT6aiQ6FA 42716
metabci/brainstim/utils.py sha256=tVLopDtd2rjme2kdYYp2gXj168FwkpjDdxFl4HD-B0o 1796
tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/base_tmpl.py sha256=_qzpANiRu3O-gaiS98J_5nuZuJgbZ5CXI2gnLjO7-B8 1392
tests/test_demo.py sha256=0akA4v9WpnBuHSE-hepXm7ygQeMoaRcV-TEAdR_3KS8 340
tests/test_download.py sha256=VbqgPmq7ft5uH6aYBn4CvVUmRCIOBejM3Gkq3JHlK_I 380
metabci-0.1.2.dist-info/LICENSE sha256=gXf5dRMhNSbfLPYYTY_5hsZ1r7UU1OaKQEAQUhuIBkM 18092
metabci-0.1.2.dist-info/METADATA sha256=jgHi6E8DQ5ferhKljgyOLedy7nSuO2HizPQUyPOt5h8 6414
metabci-0.1.2.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
metabci-0.1.2.dist-info/top_level.txt sha256=oefEZXIDcYlE6GZfa9Zua40dtD2az-MzCUCdu4OWCHs 14
metabci-0.1.2.dist-info/RECORD — —

top_level.txt

metabci
tests