environment.yml

name: tf2c
channels:
  - conda-forge
  - defaults
dependencies:
  - graphviz # for dot files
  - ipython=7.20 # a powerful Python shell
  - jupyter=1.0 # to edit and run Jupyter notebooks
  - matplotlib=3.3 # beautiful plots. See tutorial tools_matplotlib.ipynb
  - nbdime=2.1 # optional tool to diff Jupyter notebooks
  - numpy=1.19 # Powerful n-dimensional arrays and numerical computing tools
  - pandas=1.2 # data analysis and manipulation tool
  - pillow=8.1 # image manipulation library, (used by matplotlib.image.imread)
  - pip # Python's package-management system
  - python=3.7 # Python! Not using latest version as some libs lack support
  - python-graphviz # for dot files
  - requests=2.25 # for REST API queries
  - scikit-learn=0.24 # machine learning library
  - scipy=1.6 # scientific/technical computing library
  - transformers=4.3 # Natural Language Processing lib for TF or PyTorch
  - wheel # built-package format for pip
  - widgetsnbextension=3.5 # interactive HTML widgets for Jupyter notebooks
  - pip:
    - tensorboard-plugin-profile==2.4.0 # profiling plugin for TensorBoard
    - tensorboard==2.4.1 # TensorFlow's visualization toolkit
    - tensorflow-addons==0.12.1 # for seq2seq impl.
    - tensorflow-datasets==3.0.0 # datasets repository, ready to use
    - tensorflow-hub==0.9.0 # trained ML models repository, ready to use
    - tensorflow-serving-api==2.4.1 # Optional 
    - tensorflow==2.4.1 # Deep Learning library