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GitHub / pandorica-opens / Reproducibility-Tools-in-Machine-Learning
conducting the decision tree for capabilities of frameworks, that assist in reproducing results in Machine Learning: wandb, guild.ai and mlflow
Stars: 1
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 2.71 MB
Dependencies:
181
Created: over 3 years ago
Updated: about 2 years ago
Last pushed: about 3 years ago
Last synced: 5 days ago
Topics: decision-tree, decision-tree-classifier, docker, keras, mlflow, neural-networks, replicability, reproducibility, reproducibility-frameworks, sklearn, tensorflow, wandb
Files
Dependencies
- absl-py ==0.11.0
- alembic ==1.4.1
- appdirs ==1.4.4
- appnope ==0.1.2
- argon2-cffi ==20.1.0
- astunparse ==1.6.3
- async-generator ==1.10
- attrs ==20.3.0
- azure-core ==1.9.0
- azure-storage-blob ==12.6.0
- backcall ==0.2.0
- bleach ==3.2.1
- cachetools ==4.2.0
- certifi ==2020.12.5
- cffi ==1.14.4
- chardet ==4.0.0
- click ==7.1.2
- cloudpickle ==1.6.0
- configparser ==5.0.1
- cryptography ==3.3.1
- cycler ==0.10.0
- daemonize ==2.5.0
- databricks-cli ==0.14.1
- decorator ==4.4.2
- defusedxml ==0.6.0
- distlib ==0.3.1
- docker ==4.4.1
- docker-pycreds ==0.4.0
- docopt ==0.6.2
- entrypoints ==0.3
- filelock ==3.0.12
- flask ==1.1.2
- flatbuffers ==1.12
- gast ==0.3.3
- gitdb ==4.0.5
- gitpython ==3.1.12
- google-auth ==1.24.0
- google-auth-oauthlib ==0.4.2
- google-pasta ==0.2.0
- gql ==0.2.0
- graphql-core ==1.1
- grpcio ==1.32.0
- guildai ==0.7.1.post1
- gunicorn ==20.0.4
- h5py ==2.10.0
- idna ==2.10
- importlib-metadata ==3.3.0
- ipykernel ==5.4.2
- ipython ==7.19.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.6.3
- isodate ==0.6.0
- itsdangerous ==1.1.0
- jedi ==0.18.0
- jinja2 ==2.11.2
- joblib ==1.0.0
- jsonschema ==3.2.0
- jupyter ==1.0.0
- jupyter-client ==6.1.11
- jupyter-console ==6.2.0
- jupyter-core ==4.7.0
- jupyterlab-pygments ==0.1.2
- jupyterlab-widgets ==1.0.0
- keras ==2.4.3
- keras-preprocessing ==1.1.2
- kiwisolver ==1.3.1
- mako ==1.1.3
- markdown ==3.3.3
- markupsafe ==1.1.1
- matplotlib ==3.3.4
- memory-profiler ==0.58.0
- mistune ==0.8.4
- mlflow ==1.13.1
- msrest ==0.6.19
- nb-conda ==2.2.1
- nb-conda-kernels ==2.3.1
- nbclient ==0.5.1
- nbconvert ==6.0.7
- nbformat ==5.0.8
- nest-asyncio ==1.4.3
- notebook ==6.1.6
- numpy ==1.19.5
- nvidia-ml-py3 ==7.352.0
- oauthlib ==3.1.0
- opt-einsum ==3.3.0
- packaging ==20.8
- pandas ==1.2.0
- pandocfilters ==1.4.3
- parso ==0.8.1
- pathtools ==0.1.2
- pexpect ==4.8.0
- pickleshare ==0.7.5
- pillow ==8.1.0
- pip ==20.3.3
- pipreqs ==0.4.10
- pipreqsnb ==0.2.3
- pkginfo ==1.6.1
- plotly ==4.14.3
- prometheus-client ==0.9.0
- prometheus-flask-exporter ==0.18.1
- promise ==2.3
- prompt-toolkit ==3.0.10
- protobuf ==3.14.0
- psutil ==5.8.0
- ptyprocess ==0.7.0
- pyaml ==20.4.0
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- pycparser ==2.20
- pygments ==2.7.3
- pyparsing ==2.4.7
- pyrsistent ==0.17.3
- python-dateutil ==2.8.1
- python-editor ==1.0.4
- pytz ==2020.5
- pyyaml ==5.3.1
- pyzmq ==20.0.0
- qtconsole ==5.0.1
- qtpy ==1.9.0
- querystring-parser ==1.2.4
- requests ==2.25.1
- requests-oauthlib ==1.3.0
- retrying ==1.3.3
- rsa ==4.6
- scikit-learn ==0.24.0
- scikit-optimize ==0.8.1
- scikit-plot ==0.3.7
- scipy ==1.6.0
- send2trash ==1.5.0
- sentry-sdk ==0.19.5
- setuptools ==51.0.0.post20201207
- shortuuid ==1.0.1
- six ==1.15.0
- smmap ==3.0.4
- sqlalchemy ==1.3.22
- sqlparse ==0.4.1
- subprocess32 ==3.5.4
- tabulate ==0.8.7
- tabview ==1.4.4
- tensorboard ==2.4.1
- tensorboard-plugin-wit ==1.7.0
- tensorflow ==2.4.1
- tensorflow-estimator ==2.4.0
- termcolor ==1.1.0
- terminado ==0.9.2
- testpath ==0.4.4
- threadpoolctl ==2.1.0
- tornado ==6.1
- traitlets ==5.0.5
- typing-extensions ==3.7.4.3
- urllib3 ==1.26.2
- virtualenv ==20.2.2
- wandb ==0.10.17
- watchdog ==0.10.4
- wcwidth ==0.2.5
- webencodings ==0.5.1
- websocket-client ==0.57.0
- werkzeug ==1.0.1
- wheel ==0.36.2
- widgetsnbextension ==3.5.1
- wrapt ==1.12.1
- yarg ==0.1.9
- zipp ==3.4.0
- h5py *
- keras *
- mlflow *
- numpy *
- opencv-python *
- pandas *
- pillow *
- scikit-learn *
- tensorflow *
- h5py *
- keras *
- numpy *
- opencv-python *
- pandas *
- pillow *
- scikit-learn *
- tensorflow *
- wandb *