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GitHub / AlexIoannides / pymc-example-project
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlexIoannides%2Fpymc-example-project
Stars: 101
Forks: 19
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 77.3 MB
Dependencies:
69
Created: over 6 years ago
Updated: 5 months ago
Last pushed: over 5 years ago
Last synced: about 2 months ago
Topics: bayesian-data-analysis, bayesian-inference, data-science, machine-learning, numpy, pandas, probabilistic-programming, pymc3, python, scikit-learn
Files
Dependencies
- jupyterlab * develop
- arviz *
- matplotlib *
- numpy *
- pandas *
- pymc3 *
- scikit-learn *
- seaborn *
- appnope ==0.1.0 develop
- backcall ==0.1.0 develop
- bleach ==3.1.0 develop
- decorator ==4.3.2 develop
- defusedxml ==0.5.0 develop
- entrypoints ==0.3 develop
- ipykernel ==5.1.0 develop
- ipython ==7.3.0 develop
- ipython-genutils ==0.2.0 develop
- jedi ==0.13.2 develop
- jinja2 ==2.10 develop
- jsonschema ==2.6.0 develop
- jupyter-client ==5.2.4 develop
- jupyter-core ==4.4.0 develop
- jupyterlab ==0.35.4 develop
- jupyterlab-server ==0.2.0 develop
- markupsafe ==1.1.0 develop
- mistune ==0.8.4 develop
- nbconvert ==5.4.1 develop
- nbformat ==4.4.0 develop
- notebook ==5.7.4 develop
- pandocfilters ==1.4.2 develop
- parso ==0.3.4 develop
- pexpect ==4.6.0 develop
- pickleshare ==0.7.5 develop
- prometheus-client ==0.6.0 develop
- prompt-toolkit ==2.0.9 develop
- ptyprocess ==0.6.0 develop
- pygments ==2.3.1 develop
- python-dateutil ==2.8.0 develop
- pyzmq ==18.0.0 develop
- send2trash ==1.5.0 develop
- six ==1.12.0 develop
- terminado ==0.8.1 develop
- testpath ==0.4.2 develop
- tornado ==5.1.1 develop
- traitlets ==4.3.2 develop
- wcwidth ==0.1.7 develop
- webencodings ==0.5.1 develop
- arviz ==0.3.2
- cftime ==1.0.3.4
- cycler ==0.10.0
- h5py ==2.9.0
- joblib ==0.12.5
- kiwisolver ==1.0.1
- matplotlib ==3.0.2
- netcdf4 ==1.4.2
- numpy ==1.15.0
- pandas ==0.24.1
- patsy ==0.5.1
- pymc3 ==3.6
- pyparsing ==2.3.1
- python-dateutil ==2.8.0
- pytz ==2018.9
- scikit-learn ==0.20.2
- scipy ==1.2.1
- seaborn ==0.9.0
- six ==1.12.0
- theano ==1.0.4
- tqdm ==4.31.1
- xarray ==0.11.3