95 lines
2.3 KiB
Plaintext
95 lines
2.3 KiB
Plaintext
# TensorFlow is much easier to install using Anaconda, especially
|
|
# on Windows or when using a GPU. Please see the installation
|
|
# instructions in INSTALL.md
|
|
|
|
##### Core scientific packages
|
|
jupyter==1.0.0
|
|
matplotlib==3.1.3
|
|
numpy==1.18.1
|
|
pandas==1.0.3
|
|
scipy==1.4.1
|
|
|
|
|
|
##### Machine Learning packages
|
|
scikit-learn==0.22
|
|
|
|
# Optional: the XGBoost library is only used in chapter 7
|
|
xgboost==1.0.2
|
|
|
|
##### TensorFlow-related packages
|
|
|
|
# If you have a TF-compatible GPU and you want to enable GPU support, then
|
|
# replace tensorflow with tensorflow-gpu, and replace tensorflow-serving-api
|
|
# with tensorflow-serving-api-gpu.
|
|
# Your GPU must have CUDA Compute Capability 3.5 or higher support, and
|
|
# you must install CUDA, cuDNN and more: see tensorflow.org for the detailed
|
|
# installation instructions.
|
|
|
|
tensorflow==2.1.0
|
|
|
|
# Optional: the TF Serving API library is just needed for chapter 19.
|
|
tensorflow-serving-api==2.1.0
|
|
#tensorflow-serving-api-gpu==2.1.0
|
|
|
|
tensorboard==2.1.1
|
|
tensorboard-plugin-profile==2.2.0
|
|
tensorflow-datasets==2.1.0
|
|
tensorflow-hub==0.7.0
|
|
tensorflow-probability==0.9.0
|
|
|
|
# Optional: only used in chapter 13.
|
|
# NOT AVAILABLE ON WINDOWS
|
|
tfx==0.21.2
|
|
|
|
# Optional: only used in chapter 16.
|
|
# NOT AVAILABLE ON WINDOWS
|
|
tensorflow-addons==0.8.3
|
|
|
|
##### Reinforcement Learning library (chapter 18)
|
|
|
|
# There are a few dependencies you need to install first, check out:
|
|
# https://github.com/openai/gym#installing-everything
|
|
gym[atari]==0.17.1
|
|
# On Windows, install atari_py using:
|
|
# pip install --no-index -f https://github.com/Kojoley/atari-py/releases atari_py
|
|
|
|
tf-agents==0.3.0
|
|
|
|
|
|
##### Image manipulation
|
|
imageio==2.6.1
|
|
Pillow==7.0.0
|
|
scikit-image==0.16.2
|
|
graphviz==0.13.2
|
|
pydot==1.4.1
|
|
opencv-python==4.2.0.32
|
|
pyglet==1.5.0
|
|
|
|
#pyvirtualdisplay # needed in chapter 16, if on a headless server
|
|
# (i.e., without screen, e.g., Colab or VM)
|
|
|
|
|
|
##### Additional utilities
|
|
|
|
# Efficient jobs (caching, parallelism, persistence)
|
|
joblib==0.14.1
|
|
|
|
# Easy http requests
|
|
requests==2.23.0
|
|
|
|
# Nice utility to diff Jupyter Notebooks.
|
|
nbdime==2.0.0
|
|
|
|
# May be useful with Pandas for complex "where" clauses (e.g., Pandas
|
|
# tutorial).
|
|
numexpr==2.7.1
|
|
|
|
# Optional: these libraries can be useful in the classification chapter,
|
|
# exercise 4.
|
|
nltk==3.4.5
|
|
urlextract==0.14.0
|
|
|
|
# Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook support
|
|
tqdm==4.43.0
|
|
ipywidgets==7.5.1
|