kriss024/anaconda-python-and-pytorch repository overview

⁠Anaconda Python for Data Science

⁠Python 3.8.8 with PyTorch, CatBoost, XGBoost, LightGBM libraries

⁠How to Use this Image

To launch the container, run the following command:
in Windows:

docker run -it --name pytorch -p 8888:8888 -v C:\Work:/home/notebooks kriss024/anaconda-python-and-pytorch

in Windows WSL or Linux:

docker run -it --name pytorch -p 8888:8888 -v "$PWD":/home/notebooks kriss024/anaconda-python-and-pytorch

Navigate to http://127.0.0.1:8888/⁠ in your web browser to run the jupyter notebook

⁠Content

• Anaconda Python 3.8.8
• Jupyter Notebook
• Beautiful Soup
• Bokeh
• CatBoost
• Category Encoders
• Dask
• ELI5
• Flask
• GeoPy
• Hyperopt
• Hyperopt-sklearn
• imageio
• Joblib
• NumPy
• OpenCV
• Openpyxl
• Pandas
• Pingouin
• Pillow
• Plotly
• psycopg2
• PyTorch
• scikit-learn
• SciPy
• seaborn
• SHAP
• Statsmodels
• spaCy
• SQLAlchemy
• Theano
• XGBoost
• LightGBM