markovflow
A Tensorflow based library for Time Series Modelling with Gaussian Processes
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (17.1%) to scientific vocabulary
Repository
A Tensorflow based library for Time Series Modelling with Gaussian Processes
Basic Info
- Host: GitHub
- Owner: secondmind-labs
- License: apache-2.0
- Language: Python
- Default Branch: develop
- Size: 26.7 MB
Statistics
- Stars: 30
- Watchers: 2
- Forks: 6
- Open Issues: 5
- Releases: 11
Metadata Files
README.md
Markovflow
Documentation | Tutorials | API reference | Slack
What does Markovflow do?
Markovflow is a Python library for time-series analysis via probabilistic inference in generative models with Markovian Gaussian Processes.
Markovflow uses the mathematical building blocks from GPflow and marries these with objects and operators dedicated to run inference and learning in linear dynamical systems. This combination leads to a framework that can be used for:
- researching new Markovian Gaussian process based models, and
- building, training, evaluating and deploying Gaussian processes in a modern way — making use of the tools developed by the deep learning community.
Getting started
In the Documentation, we have multiple Tutorials showing the basic functionality of the toolbox, and a comprehensive API reference.
Install Markovflow
This project is assuming you are using python3.
For users
To install the latest (stable) release of the toolbox from PyPI, use pip:
bash
$ pip install markovflow
For contributors
To install this project in editable mode, run the commands below from the root directory of the markovflow repository.
bash
poetry install
Check that the installation was successful by running the tests:
bash
poetry run task test
You can have a peek at the pyproject.toml for the commands.
The Secondmind Labs Community
Getting help
Bugs, feature requests, pain points, annoying design quirks, etc: Please use GitHub issues to flag up bugs/issues/pain points, suggest new features, and discuss anything else related to the use of Markovflow that in some sense involves changing the Markovflow code itself. We positively welcome comments or concerns about usability, and suggestions for changes at any level of design. We aim to respond to issues promptly, but if you believe we may have forgotten about an issue, please feel free to add another comment to remind us.
Slack workspace
We have a public Secondmind Labs slack workspace. Please use this invite link and join the #markovflow channel, whether you'd just like to ask short informal questions or want to be involved in the discussion and future development of Markovflow.
Contributing
All constructive input is very much welcome. For detailed information, see the guidelines for contributors.
Maintainers
Markovflow was originally created at Secondmind Labs and is now maintained by (in alphabetical order) Vincent Adam, Stefanos Eleftheriadis, Samuel Willis. We are grateful to all contributors who have helped shape Markovflow.
Markovflow is an open source project. If you have relevant skills and are interested in contributing then please do contact us (see "The Secondmind Labs Community" section above).
We are very grateful to our Secondmind Labs colleagues, maintainers of GPflow, GPflux, Trieste and Bellman, for their help with creating contributing guidelines, instructions for users and open-sourcing in general.
License
Owner
- Name: Secondmind Labs
- Login: secondmind-labs
- Kind: organization
- Location: Cambridge, UK
- Website: https://www.secondmind.ai/
- Repositories: 5
- Profile: https://github.com/secondmind-labs
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Adam" given-names: "Vincent" - family-names: "Artemev" given-names: "Artem" - family-names: "Durrande" given-names: "Nicolas" - family-names: "Eleftheriadis" given-names: "Stefanos" - family-names: "Hayes" given-names: "Alexandra" - family-names: "Hensman" given-names: "James" - family-names: "Jennings" given-names: "Joel" - family-names: "John" given-names: "ST" - family-names: "Leedham" given-names: "James A." - family-names: "McLeod" given-names: "John A." - family-names: "Saul" given-names: "Alan" - family-names: "Verma" given-names: "Prakhar" - family-names: "Wei" given-names: "Yi" - family-names: "Willis" given-names: "Samuel" title: "Markovflow" version: 0.0.13 date-released: 2022-09-07 url: "https://github.com/secondmind-labs/markovflow"
GitHub Events
Total
- Watch event: 3
Last Year
- Watch event: 3
Dependencies
- ipython *
- jupytext *
- nbsphinx *
- pandoc *
- pydata-sphinx-theme *
- sphinx *
- sphinx-autoapi *
- sphinxcontrib-bibtex *
- jupyter *
- matplotlib *
- pandas *
- scikit-learn *
- 166 dependencies
- black 19.10b0 develop
- ipython ^7.15.0 develop
- jupyter ^1.0.0 develop
- jupytext ^1.5.1 develop
- matplotlib ^3.2.2 develop
- mypy 0.711 develop
- nbsphinx ^0.7.0 develop
- pandoc ^1.0.2 develop
- pydata-sphinx-theme ^0.4.1 develop
- pylint 2.3.1 develop
- pytest ^5.3.5 develop
- pytest-black ^0.3.11 develop
- pytest-cov ^2.8.1 develop
- pytest-isort ^1.0.0 develop
- pytest-mypy ^0.6.1 develop
- pytest-pylint ^0.17.0 develop
- pytest-timeout ^1.4.1 develop
- sphinx ^3.2.1 develop
- sphinx-autodoc-typehints ^1.11.0 develop
- sphinx-rtd-theme ^0.5.0 develop
- taskipy ^1.2.0 develop
- wheel ^0.37.0 develop
- banded-matrices 0.0.6
- google-auth ^1.16.0
- gpflow ^2.1
- importlib_metadata ^1.6
- numpy ^1.18.0
- python >3.7,<3.8
- scipy ^1.4.1
- setuptools ^41.0.0
- tensorflow >2.2.0
- tensorflow-probability 0.11.0
- absl-py ==0.11.0
- alabaster ==0.7.12
- appdirs ==1.4.4
- appnope ==0.1.0
- argon2-cffi ==20.1.0
- astroid ==2.4.2
- astunparse ==1.6.3
- async-generator ==1.10
- atomicwrites ==1.4.0
- attrs ==20.3.0
- babel ==2.9.0
- backcall ==0.2.0
- banded-matrices ==0.0.6
- black ==19.10b0
- bleach ==3.2.1
- cachetools ==4.1.1
- certifi ==2020.11.8
- cffi ==1.14.4
- chardet ==3.0.4
- click ==7.1.2
- cloudpickle ==1.3.0
- cmake ==3.18.4.post1
- colorama ==0.4.4
- coverage ==5.3
- cycler ==0.10.0
- dataclasses ==0.6
- decorator ==4.4.2
- defusedxml ==0.6.0
- docutils ==0.16
- entrypoints ==0.3
- filelock ==3.0.12
- gast ==0.3.3
- google-auth ==1.16.0
- google-auth-oauthlib ==0.4.2
- google-pasta ==0.2.0
- gpflow ==2.1.3
- grpcio ==1.33.2
- h5py ==2.10.0
- idna ==2.10
- imagesize ==1.2.0
- importlib-metadata ==1.7.0
- ipykernel ==5.3.4
- ipython ==7.19.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- isort ==4.3.21
- jedi ==0.17.2
- jinja2 ==2.11.2
- jsonschema ==3.2.0
- junit-xml ==1.9
- jupyter ==1.0.0
- jupyter-client ==6.1.7
- jupyter-console ==6.2.0
- jupyter-core ==4.7.0
- jupyterlab-pygments ==0.1.2
- jupytext ==1.7.1
- keras-preprocessing ==1.1.2
- kiwisolver ==1.3.1
- lazy-object-proxy ==1.4.3
- markdown ==3.3.3
- markdown-it-py ==0.5.6
- markupsafe ==1.1.1
- mccabe ==0.6.1
- mistune ==0.8.4
- more-itertools ==8.6.0
- mslex ==0.3.0
- multipledispatch ==0.6.0
- mypy ==0.711
- mypy-extensions ==0.4.3
- nbclient ==0.5.1
- nbconvert ==6.0.7
- nbformat ==5.0.8
- nbsphinx ==0.7.1
- nest-asyncio ==1.4.3
- notebook ==6.1.5
- numpy ==1.18.5
- oauthlib ==3.1.0
- opt-einsum ==3.3.0
- packaging ==20.7
- pandoc ==1.0.2
- pandocfilters ==1.4.3
- parso ==0.7.1
- pathspec ==0.8.1
- pexpect ==4.8.0
- pickleshare ==0.7.5
- pillow ==8.0.1
- pio-licence-checker ==1.0.1
- pio-testing-utilities ==0.31.0
- pluggy ==0.13.1
- ply ==3.11
- prometheus-client ==0.9.0
- prompt-toolkit ==3.0.8
- protobuf ==3.14.0
- psutil ==5.7.3
- ptyprocess ==0.6.0
- py ==1.9.0
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- pycparser ==2.20
- pydata-sphinx-theme ==0.4.1
- pygments ==2.7.2
- pylint ==2.3.1
- pyparsing ==2.4.7
- pyrsistent ==0.17.3
- python-dateutil ==2.8.1
- pytz ==2020.4
- pywin32 ==300
- pywinpty ==0.5.7
- pyyaml ==5.3.1
- pyzmq ==20.0.0
- qtconsole ==5.0.1
- qtpy ==1.9.0
- regex ==2020.11.13
- requests ==2.25.0
- requests-oauthlib ==1.3.0
- rsa ==4.0
- scipy ==1.4.1
- send2trash ==1.5.0
- six ==1.15.0
- snowballstemmer ==2.0.0
- sphinx ==3.3.1
- sphinx-autodoc-typehints ==1.11.1
- sphinx-rtd-theme ==0.5.0
- sphinxcontrib-applehelp ==1.0.2
- sphinxcontrib-devhelp ==1.0.2
- sphinxcontrib-htmlhelp ==1.0.3
- sphinxcontrib-jsmath ==1.0.1
- sphinxcontrib-qthelp ==1.0.3
- sphinxcontrib-serializinghtml ==1.1.4
- tabulate ==0.8.7
- taskipy ==1.5.1
- tensorboard ==2.2.2
- tensorboard-plugin-wit ==1.7.0
- tensorflow ==2.2.1
- tensorflow-estimator ==2.2.0
- tensorflow-probability ==0.11.0
- termcolor ==1.1.0
- terminado ==0.9.1
- testpath ==0.4.4
- toml ==0.10.2
- tornado ==6.1
- traitlets ==5.0.5
- typed-ast ==1.4.1
- typing-extensions ==3.7.4.3
- urllib3 ==1.26.2
- wcwidth ==0.2.5
- webencodings ==0.5.1
- werkzeug ==1.0.1
- widgetsnbextension ==3.5.1
- wrapt ==1.12.1
- zipp ==3.4.0
- black ==20.8b1 test
- codecov * test
- flake8 ==3.8.4 test
- ipykernel * test
- isort ==5.6.4 test
- jupyter_client * test
- jupytext * test
- mypy ==0.770 test
- nbconvert * test
- nbformat * test
- pytest * test
- pytest ==5.4.3 test
- pytest-black ==0.3.12 test
- pytest-cov ==2.10.1 test
- pytest-isort ==1.2.0 test
- pytest-mock * test
- pytest-mypy ==0.6.2 test
- pytest-pylint ==0.17.0 test
- pytest-random-order * test
- pytest-timeout ==1.4.2 test
- tornado * test
- tqdm * test
- actions/cache v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- snok/install-poetry v1 composite
- actions/cache v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- snok/install-poetry v1 composite
- actions/cache v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- pypa/gh-action-pypi-publish release/v1 composite
- snok/install-poetry v1 composite