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GitHub / Ram-N / Bayesian_PyMC3
Examples and notebooks of using PyMC3 for learning Bayesian Analysis
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ram-N%2FBayesian_PyMC3
Stars: 1
Forks: 1
Open Issues: 11
License: None
Language: Jupyter Notebook
Repo Size: 10.5 MB
Dependencies:
64
Created: over 4 years ago
Updated: over 2 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Files
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Readme
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Dependencies
requirements.txt
pypi
- Jinja2 ==2.11.1
- MarkupSafe ==1.1.1
- Pygments ==2.5.2
- Send2Trash ==1.5.0
- Theano ==1.0.4
- arviz ==0.6.1
- attrs ==19.3.0
- backcall ==0.1.0
- bleach ==3.1.1
- certifi ==2019.11.28
- cftime ==1.1.0
- colorama ==0.4.3
- cycler ==0.10.0
- decorator ==4.4.1
- defusedxml ==0.6.0
- entrypoints ==0.3
- h5py ==2.10.0
- importlib-metadata ==1.5.0
- ipykernel ==5.1.4
- ipython ==7.12.0
- ipython-genutils ==0.2.0
- jedi ==0.16.0
- json5 ==0.9.0
- jsonschema ==3.2.0
- jupyter-client ==5.3.4
- jupyter-core ==4.6.3
- jupyterlab ==1.2.6
- jupyterlab-server ==1.0.6
- kiwisolver ==1.1.0
- matplotlib ==3.1.3
- mistune ==0.8.4
- nbconvert ==5.6.1
- nbformat ==5.0.4
- netCDF4 ==1.5.3
- notebook ==6.0.3
- numpy ==1.18.1
- packaging ==20.1
- pandas ==1.0.1
- pandocfilters ==1.4.2
- parso ==0.6.1
- patsy ==0.5.1
- pickleshare ==0.7.5
- prometheus-client ==0.7.1
- prompt-toolkit ==3.0.3
- pymc3 ==3.8
- pyparsing ==2.4.6
- pyrsistent ==0.15.7
- python-dateutil ==2.8.1
- pytz ==2019.3
- pywin32 ==225
- pywinpty ==0.5.7
- pyzmq ==18.1.1
- scipy ==1.4.1
- six ==1.14.0
- terminado ==0.8.3
- testpath ==0.4.4
- tornado ==6.0.3
- tqdm ==4.43.0
- traitlets ==4.3.3
- wcwidth ==0.1.8
- webencodings ==0.5.1
- wincertstore ==0.2
- xarray ==0.15.0
- zipp ==2.2.1