89 lines
2.4 KiB
Plaintext
89 lines
2.4 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
|
|
jupyterlab~=3.2.0
|
|
matplotlib~=3.5.0
|
|
numpy~=1.22.0
|
|
pandas~=1.4.0
|
|
scipy~=1.8.0
|
|
|
|
##### Machine Learning packages
|
|
scikit-learn~=1.0.2
|
|
|
|
# Optional: the XGBoost library is only used in chapter 7
|
|
xgboost~=1.5.0
|
|
|
|
# Optional: the transformers library is only using in chapter 16
|
|
transformers~=4.16.2
|
|
|
|
##### TensorFlow-related packages
|
|
|
|
# If you have a TF-compatible GPU and you want to enable GPU support, then
|
|
# 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~=2.7.1
|
|
# Optional: the TF Serving API library is just needed for chapter 18.
|
|
tensorflow-serving-api~=2.7.0 # or tensorflow-serving-api-gpu if gpu
|
|
|
|
tensorboard~=2.8.0
|
|
tensorboard-plugin-profile~=2.5.0
|
|
tensorflow-datasets~=4.5.2
|
|
tensorflow-hub~=0.12.0
|
|
|
|
# Optional: used in chapters 11 & 16 (for AdamW & seq2seq)
|
|
tensorflow-addons~=0.15.0
|
|
|
|
##### 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[Box2D,atari,accept-rom-license]~=0.21.0
|
|
|
|
# WARNING: on Windows, installing Box2D this way requires:
|
|
# * Swig: http://www.swig.org/download.html
|
|
# * Microsoft C++ Build Tools:
|
|
# https://visualstudio.microsoft.com/visual-cpp-build-tools/
|
|
# It's much easier to use Anaconda instead.
|
|
|
|
##### Image manipulation
|
|
Pillow~=9.0.0
|
|
graphviz~=0.19.1
|
|
pyglet~=1.5.21
|
|
|
|
#pyvirtualdisplay # needed in chapter 18, if on a headless server
|
|
# (i.e., without screen, e.g., Colab or VM)
|
|
|
|
|
|
##### Additional utilities
|
|
|
|
# Efficient jobs (caching, parallelism, persistence)
|
|
joblib~=1.1.0
|
|
|
|
# Easy http requests
|
|
requests~=2.27.0
|
|
|
|
# Nice utility to diff Jupyter Notebooks.
|
|
nbdime~=3.1.0
|
|
|
|
# May be useful with Pandas for complex "where" clauses (e.g., Pandas
|
|
# tutorial).
|
|
numexpr~=2.8.0
|
|
|
|
# Optional: these libraries can be useful in chapter 3, exercise 4.
|
|
nltk~=3.6.5
|
|
urlextract~=1.5.0
|
|
|
|
# Optional: these libraries are only used in chapter 16
|
|
ftfy~=5.5.0
|
|
|
|
# Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook
|
|
# support
|
|
tqdm~=4.62.3
|
|
ipywidgets~=7.6.5
|