47 lines
2.6 KiB
YAML
47 lines
2.6 KiB
YAML
name: homl3
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channels:
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- conda-forge
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- defaults
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dependencies:
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- box2d-py # used only in chapter 18, exercise 8
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- ftfy=5.5 # used only in chapter 16 by the transformers library
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- graphviz # used only in chapter 6 for dot files
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- python-graphviz # used only in chapter 6 for dot files
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- ipython=8.0 # a powerful Python shell
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- ipywidgets=7.6 # optionally used only in chapter 11 for tqdm in Jupyter
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- joblib=1.1 # used only in chapter 2 to save/load Scikit-Learn models
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- jupyterlab=3.2 # to edit and run Jupyter notebooks
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- matplotlib=3.5 # beautiful plots. See tutorial tools_matplotlib.ipynb
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- nbdime=3.1 # optional tool to diff Jupyter notebooks
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- nltk=3.6 # optionally used in chapter 3, exercise 4
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- numexpr=2.8 # used only in the Pandas tutorial for numerical expressions
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- numpy=1.22 # Powerful n-dimensional arrays and numerical computing tools
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- pandas=1.4 # data analysis and manipulation tool
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- pillow=9.0 # image manipulation library, (used by matplotlib.image.imread)
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- pip # Python's package-management system
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- py-xgboost=1.5 # used only in chapter 6 for optimized Gradient Boosting
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- pyglet=1.5 # used only in chapter 18 to render environments
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- pyopengl=3.1 # used only in chapter 18 to render environments
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- python=3.9 # Python! Not using latest version as some libs lack support
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#- pyvirtualdisplay=2.2 # used only in chapter 18 if on headless server
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- requests=2.27 # used only in chapter 19 for REST API queries
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- scikit-learn=1.0 # machine learning library
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- scipy=1.8 # scientific/technical computing library
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- tqdm=4.62 # a progress bar library
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- wheel # built-package format for pip
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- widgetsnbextension=3.5 # interactive HTML widgets for Jupyter notebooks
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- pip:
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- keras-tuner~=1.1.2 # used in chapters 10 and 19 for hyperparameter tuning
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- tensorboard-plugin-profile~=2.5.0 # profiling plugin for TensorBoard
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- tensorboard~=2.8.0 # TensorFlow's visualization toolkit
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- tensorflow-addons~=0.16.1 # used in chapters 11 & 16 (for AdamW & seq2seq)
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- tensorflow-datasets~=4.5.2 # datasets repository, ready to use
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- tensorflow-hub~=0.12.0 # trained ML models repository, ready to use
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- tensorflow-serving-api~=2.8.0 # or tensorflow-serving-api-gpu if gpu
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- tensorflow~=2.8.0 # Deep Learning library
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- transformers~=4.16.2 # Natural Language Processing lib for TF or PyTorch
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- urlextract~=1.5.0 # optionally used in chapter 3, exercise 4
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- gym[atari,accept-rom-license]~=0.21.0 # used only in chapter 18
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- google-cloud-aiplatform~=1.12.0 # used only in chapter 19
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- google-cloud-storage~=2.2.1 # used only in chapter 19
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