GitHub / multinetlab-amsterdam / network_TDA_tutorial
This repository is dedicated for the tutorial on network and topological neuroscience.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/multinetlab-amsterdam%2Fnetwork_TDA_tutorial
PURL: pkg:github/multinetlab-amsterdam/network_TDA_tutorial
Stars: 68
Forks: 24
Open issues: 2
License: gpl-3.0
Language: HTML
Size: 201 MB
Dependencies parsed at:
152
Created at: over 4 years ago
Updated at: 5 months ago
Pushed at: over 1 year ago
Last synced at: 4 months ago
Topics: fmri, graph-theory, neuroimaging, neuroscience, tda, topological-data-analysis
requirements.txt
pypi
- gudhi ==3.3.0
- ipykernel *
- jupyterlab *
- latexcodec *
- meshio ==4.0.16
- nbclient *
- nbconvert *
- nbformat ==5.0.8
- networkx ==2.4
- nodejs *
- npm *
- numpy ==1.18.5
- pandas ==1.1.3
- pip *
- plotly ==4.6.0
- python-louvain ==0.13
- scikit-learn >=0.23.1
- scipy ==1.5.0
- seaborn ==0.11.0
- setuptools *
- tqdm ==4.51.0
- watermark ==2.1.0
- Cython ==0.29.15
- Jinja2 *
- MarkupSafe ==1.1.1
- Pillow *
- PySocks ==1.7.1
- PyYAML ==5.3.1
- Pygments ==2.7.2
- Send2Trash ==1.5.0
- Sphinx ==3.2.1
- Werkzeug ==1.0.1
- anaconda *
- argon2-cffi ==20.1.0
- asn1crypto ==1.4.0
- async-generator ==1.10
- atomicwrites ==1.4.0
- attrs ==20.2.0
- backcall ==0.2.0
- backports.functools-lru-cache ==1.6.1
- bleach *
- brotlipy ==0.7.0
- certifi ==2020.11.8
- cffi ==1.14.3
- chardet ==3.0.4
- colorama ==0.4.4
- cryptography *
- cycler ==0.10.0
- decorator ==4.4.2
- defusedxml ==0.6.0
- entrypoints ==0.3
- gudhi >=3.3.0
- hypothesis ==5.8.3
- idna ==2.10
- importlib-metadata ==2.1.1
- ipykernel ==5.3.4
- ipympl ==0.3.1
- ipython ==7.18.1
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- jedi ==0.17.2
- joblib ==0.17.0
- json5 ==0.9.5
- jsonschema ==3.2.0
- jupyter-client ==6.1.7
- jupyter-core ==4.6.3
- jupyterlab ==1.2.0
- jupyterlab-pygments ==0.1.2
- jupyterlab-server ==1.0.6
- kiwisolver ==1.2.0
- latexcodec ==2.0.1
- libarchive-c ==2.9
- matplotlib ==3.3.2
- meshio ==4.0.16
- mistune ==0.8.4
- more-itertools ==8.2.0
- nbclient ==0.5.1
- nbconvert ==6.0.7
- nbformat ==5.0.8
- nest-asyncio ==1.4.1
- networkx ==2.4
- nodejs ==0.1.1
- notebook *
- npm ==0.1.1
- numpy ==1.18.5
- olefile ==0.46
- optional-django ==0.1.0
- packaging ==20.4
- palettable ==3.3.0
- pandas ==1.1.3
- pandocfilters ==1.4.2
- parso ==0.7.1
- pickleshare ==0.7.5
- pip *
- plotly ==4.6.0
- pluggy ==0.13.1
- prometheus-client ==0.8.0
- prompt-toolkit ==3.0.8
- py ==1.9.0
- pyOpenSSL ==19.1.0
- pycparser ==2.20
- pyparsing ==2.4.7
- pyrsistent ==0.17.3
- pytest ==5.4.1
- python-dateutil ==2.8.1
- python-louvain ==0.13
- pytz ==2020.1
- pywin32-ctypes ==0.2.0
- pywinpty ==0.5.7
- pyzmq ==19.0.2
- requests ==2.24.0
- retrying ==1.3.3
- rope ==0.18.0
- rsa ==4.6
- scikit-learn >=0.23.1
- scipy ==1.5.0
- seaborn ==0.11.0
- six ==1.15.0
- snowballstemmer ==2.0.0
- sortedcontainers ==2.3.0
- soupsieve ==2.0.1
- sphinxcontrib-applehelp ==1.0.2
- sphinxcontrib-devhelp ==1.0.2
- sphinxcontrib-fulltoc ==1.2.0
- sphinxcontrib-htmlhelp ==1.0.3
- sphinxcontrib-jsmath ==1.0.1
- sphinxcontrib-qthelp ==1.0.3
- sphinxcontrib-serializinghtml ==1.1.4
- spyder ==3.3.4
- spyder-kernels ==0.4.4
- statsmodels ==0.12.0
- tensorboard ==2.3.0
- tensorboard-plugin-wit ==1.7.0
- tensorflow *
- tensorflow-estimator >=2.3.0
- termcolor ==1.1.0
- testpath ==0.4.4
- threadpoolctl ==2.1.0
- toml ==0.10.1
- tornado >=6.0.4
- tqdm ==4.51.0
- traitlets ==5.0.5
- typed-ast ==1.4.1
- urllib3 ==1.25.11
- watermark ==2.1.0
- wcwidth ==0.2.5
- webencodings ==0.5.1
- wheel ==0.36.0
- widgetsnbextension ==3.5.1
- win-inet-pton ==1.1.0
- wincertstore ==0.2
- zipp ==3.4.0