https://github.com/kriss024/anaconda-python-and-pytorch
Anaconda Python 3.8.8 with PyTorch Docker image
https://github.com/kriss024/anaconda-python-and-pytorch
catboost data-science docker jupyter-notebook python pytorch xgboost
Last synced: about 1 month ago
JSON representation
Anaconda Python 3.8.8 with PyTorch Docker image
- Host: GitHub
- URL: https://github.com/kriss024/anaconda-python-and-pytorch
- Owner: kriss024
- Created: 2021-07-20T19:05:22.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-09-01T20:38:31.000Z (over 3 years ago)
- Last Synced: 2025-01-25T00:19:35.499Z (3 months ago)
- Topics: catboost, data-science, docker, jupyter-notebook, python, pytorch, xgboost
- Language: Dockerfile
- Homepage: https://hub.docker.com/repository/docker/kriss024/anaconda-python-and-pytorch
- Size: 7.81 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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:
```cmd
docker run -it --name pytorch -p 8888:8888 -v C:\Work:/home/notebooks kriss024/anaconda-python-and-pytorch
```
in Windows WSL or Linux:
```bash
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/](http://127.0.0.1:8888/) in your web browser to run the jupyter notebook
## Content
- [x] Anaconda Python 3.8.8
- [x] Jupyter Notebook
- [x] Beautiful Soup
- [x] Bokeh
- [x] CatBoost
- [x] Category Encoders
- [x] Dask
- [x] ELI5
- [x] Flask
- [x] GeoPy
- [x] Hyperopt
- [x] Hyperopt-sklearn
- [x] imageio
- [x] Joblib
- [x] NumPy
- [x] OpenCV
- [x] Openpyxl
- [x] Pandas
- [x] Pingouin
- [x] Pillow
- [x] Plotly
- [x] psycopg2
- [x] PyTorch
- [x] scikit-learn
- [x] SciPy
- [x] seaborn
- [x] SHAP
- [x] Statsmodels
- [x] spaCy
- [x] SQLAlchemy
- [x] Theano
- [x] XGBoost
- [x] LightGBM