48 lines
2.7 KiB
YAML
48 lines
2.7 KiB
YAML
name: homl3
|
|
channels:
|
|
- conda-forge
|
|
- defaults
|
|
dependencies:
|
|
- box2d-py=2.3 # used only in chapter 18, exercise 8
|
|
- ftfy=6.1 # used only in chapter 16 by the transformers library
|
|
- graphviz # used only in chapter 6 for dot files
|
|
- python-graphviz # used only in chapter 6 for dot files
|
|
- ipython=8.5 # a powerful Python shell
|
|
- ipywidgets=8.0 # optionally used only in chapter 11 for tqdm in Jupyter
|
|
- joblib=1.1 # used only in chapter 2 to save/load Scikit-Learn models
|
|
- jupyterlab=3.4 # to edit and run Jupyter notebooks
|
|
- matplotlib=3.5 # beautiful plots. See tutorial tools_matplotlib.ipynb
|
|
- nbdime=3.1 # optional tool to diff Jupyter notebooks
|
|
- nltk=3.6 # optionally used in chapter 3, exercise 4
|
|
- numexpr=2.8 # used only in the Pandas tutorial for numerical expressions
|
|
- numpy=1.23 # Powerful n-dimensional arrays and numerical computing tools
|
|
- pandas=1.4 # data analysis and manipulation tool
|
|
- pillow=9.2 # image manipulation library, (used by matplotlib.image.imread)
|
|
- pip # Python's package-management system
|
|
- py-xgboost=1.6 # used only in chapter 6 for optimized Gradient Boosting
|
|
- pydot=1.4 # used only for in chapter 10 for tf.keras.utils.plot_model()
|
|
- pyglet=1.5 # used only in chapter 18 to render environments
|
|
- pyopengl=3.1 # used only in chapter 18 to render environments
|
|
- python=3.10 # your beloved programming language! :)
|
|
#- pyvirtualdisplay=3.0 # used only in chapter 18 if on headless server
|
|
- requests=2.28 # used only in chapter 19 for REST API queries
|
|
- scikit-learn=1.1 # machine learning library
|
|
- scipy=1.9 # scientific/technical computing library
|
|
- tqdm=4.64 # a progress bar library
|
|
- wheel # built-package format for pip
|
|
- widgetsnbextension=4.0 # interactive HTML widgets for Jupyter notebooks
|
|
- pip:
|
|
- keras-tuner~=1.1.3 # used in chapters 10 and 19 for hyperparameter tuning
|
|
- tensorboard-plugin-profile~=2.8.0 # profiling plugin for TensorBoard
|
|
- tensorboard~=2.10.0 # TensorFlow's visualization toolkit
|
|
- tensorflow-addons~=0.17.1 # used in chapters 11 & 16 (for AdamW & seq2seq)
|
|
- tensorflow-datasets~=4.6.0 # datasets repository, ready to use
|
|
- tensorflow-hub~=0.12.0 # trained ML models repository, ready to use
|
|
- tensorflow-serving-api~=2.10.0 # or tensorflow-serving-api-gpu if gpu
|
|
- tensorflow~=2.10.0 # Deep Learning library
|
|
- transformers~=4.21.3 # Natural Language Processing lib for TF or PyTorch
|
|
- urlextract~=1.6.0 # optionally used in chapter 3, exercise 4
|
|
- gym[atari,accept-rom-license]~=0.21.0 # used only in chapter 18
|
|
- google-cloud-aiplatform~=1.17.0 # used only in chapter 19
|
|
- google-cloud-storage~=2.5.0 # used only in chapter 19
|