https://github.com/chakricherukuri/mlviz

Visualizations of machine learning models and algorithms
https://github.com/chakricherukuri/mlviz

ai bqplot conda-environment data-visualization deep-learning ipywidgets jupyter-notebook machine-learning-algorithms notebook-server scikit-learn tensorflow visualizations voila

Last synced: about 2 months ago
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Visualizations of machine learning models and algorithms

• Host: GitHub
• URL: https://github.com/chakricherukuri/mlviz
• Owner: ChakriCherukuri
• License: mit
• Created: 2018-01-16T02:06:30.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2022-01-26T13:48:09.000Z (almost 3 years ago)
• Last Synced: 2024-10-12T15:12:40.639Z (2 months ago)
• Topics: ai, bqplot, conda-environment, data-visualization, deep-learning, ipywidgets, jupyter-notebook, machine-learning-algorithms, notebook-server, scikit-learn, tensorflow, visualizations, voila
• Language: Jupyter Notebook
• Homepage:
• Size: 37 MB
• Stars: 116
• Watchers: 5
• Forks: 38
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
Notebooks containing theoretical and applied machine learning algorithms/models. All the examples are built using the jupyter widget libraries ([ipywidgets](https://ipywidgets.readthedocs.io/en/latest/examples/Widget%20List.html) and [bqplot](https://bqplot.readthedocs.io/en/latest/)). [voila](https://github.com/voila-dashboards/voila) is used to render the notebooks as code less dashboards.

View the live `mlviz` gallery live at https://chakricherukuri.github.io/mlviz/

## Environment Setup (for running the notebooks)

If you have [miniconda](https://docs.conda.io/en/latest/miniconda.html) distribution, then do the following steps to start the jupyter notebook:

* create conda env called mlviz (one time setup)

```console

$ conda env create -f environment.yml

```

* activate mlviz conda env

```console

$ conda activate mlviz

```

* start jupyter notebook server

```console

$ jupyter notebook

```

* Access the index to all the dashboards using the following link

`http://localhost:8888/voila/render/notebooks/Index.ipynb`