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GitHub / rhnfzl / business-process-dashboard-using-lstm
Master Thesis Project Repository: Predictive Process Monitoring Dashboard for Emulating LSTM Models over Business Processes and its Qualitative Evaluation
Stars: 0
Forks: 0
Open Issues: 0
License: agpl-3.0
Language: Jupyter Notebook
Repo Size: 31.1 MB
Dependencies:
91
Created: about 3 years ago
Updated: 6 months ago
Last pushed: over 1 year ago
Last synced: 6 months ago
Topics: deep-learning, feature-engineering, lstm-neural-networks, machine-learning, master-project, master-thesis, predictive-process-monitoring, process-mining, random-forest, streamlit
Files
Dependencies
- absl-py ==0.12.0
- altair ==4.1.0
- astunparse ==1.6.3
- base58 ==2.1.0
- bokeh ==2.0.0
- cvxopt ==1.2.6
- dask ==2.12.0
- deprecation ==2.1.0
- distributed ==2.12.0
- docopt ==0.6.2
- flatbuffers ==1.12
- fsspec ==0.6.3
- gast ==0.3.3
- gitdb ==4.0.7
- gitpython ==3.1.14
- grpcio ==1.32.0
- heapdict ==1.0.1
- hyperopt ==0.2.5
- ipywidgets ==7.6.3
- jellyfish ==0.7.1
- jsonpickle ==2.0.0
- jupyterlab-widgets ==1.0.0
- keras ==2.4.3
- keras-preprocessing ==1.1.2
- llvmlite ==0.31.0
- locket ==0.2.1
- lxml ==4.6.3
- mpmath ==1.2.1
- msgpack ==1.0.0
- num2words ==0.5.10
- numba ==0.48.0
- numpy ==1.19.5
- opt-einsum ==3.3.0
- partd ==1.1.0
- pillow ==7.0.0
- plotly ==4.14.3
- pm4py ==2.2.11.1
- pulp ==2.1
- pyarrow ==4.0.0
- pydeck ==0.6.2
- pydotplus ==2.0.2
- python-graphviz ==0.16
- pyvis ==0.1.9
- retrying ==1.3.3
- rfpimp ==1.3.7
- shap ==0.39.0
- simplejson ==3.17.3
- sklearn ==0.0
- slicer ==0.0.7
- smmap ==4.0.0
- statistics ==1.0.3.5
- stqdm ==0.0.4
- streamlit ==0.87.0
- streamlit-aggrid ==0.2.1
- stringdist ==1.0.9
- support-modules ==1.0.11
- swifter ==0.301
- sympy ==1.8
- tblib ==1.6.0
- tensorboard ==2.4.1
- tensorboard-plugin-wit ==1.7.0
- tensorflow ==2.4.1
- tensorflow-estimator ==2.4.0
- toolz ==0.10.0
- tqdm ==4.62.1
- typing-extensions ==3.7.4.1
- tzlocal ==2.1
- validators ==0.18.2
- wheel ==0.36.2
- wrapt ==1.12.1
- zict ==2.0.0
- Keras ==2.4.3
- ipywidgets ==7.6.3
- jellyfish ==0.7.1
- lxml ==4.6.3
- matplotlib ==3.2.2
- networkx ==2.4
- nltk >=3.6.4
- num2words ==0.5.10
- numba ==0.48.0
- numpy ==1.19.5
- pandas ==1.0.5
- pm4py ==2.2.11.1
- scikit-learn ==0.23.1
- scipy ==1.5.0
- seaborn ==0.10.1
- shap ==0.39.0
- streamlit ==0.87.0
- streamlit-aggrid ==0.2.1
- swifter ==0.301
- tensorflow ==2.4.1