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environment.yml
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environment.yml
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# Install the course conda environment with the following command:
# conda env create -f environment.yaml
# Once you install it, you should be able to see it in your Jupyter Lab.
# If not, check the documentation here: https://ipython.readthedocs.io/en/stable/install/kernel_install.html
name: 'dsi-ml-workshop'
channels:
- conda-forge
- pytorch
- anaconda
- plotly
- defaults
dependencies:
- python==3.12
- ipykernel
- matplotlib
- pandas
- scikit-learn>=1.5.1
- requests
- ipython
- graphviz
- python-graphviz
- jinja2
- torchvision
- torchaudio
- pytorch
- autograd
- plotly
- wikipedia
- spacy
- nltk
- pip>=24.2
- pip:
- mglearn
- graphviz
- nbformat
- nbclient
- transformers
- datasets
- ultralytics
- psutil>=5.7.2