Update requirements.txt

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Aurélien Geron 2020-04-03 22:17:57 +13:00
parent 0144200c9b
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1 changed files with 27 additions and 27 deletions

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##### Core scientific packages ##### Core scientific packages
jupyter==1.0.0 jupyter==1.0.0
matplotlib==3.1.2 matplotlib==3.1.3
numpy==1.17.3 numpy==1.18.1
pandas==0.25.3 pandas==1.0.3
scipy==1.3.1 scipy==1.4.1
##### Machine Learning packages ##### Machine Learning packages
scikit-learn==0.22 scikit-learn==0.22
# Optional: the XGBoost library is only used in chapter 7 # Optional: the XGBoost library is only used in chapter 7
xgboost==0.90 xgboost==1.0.2
##### TensorFlow-related packages ##### TensorFlow-related packages
@ -25,45 +25,45 @@ xgboost==0.90
# you must install CUDA, cuDNN and more: see tensorflow.org for the detailed # you must install CUDA, cuDNN and more: see tensorflow.org for the detailed
# installation instructions. # installation instructions.
tensorflow==2.0.1 tensorflow==2.1.0
#tensorflow-gpu==2.0.0
# Optional: the TF Serving API library is just needed for chapter 19. # Optional: the TF Serving API library is just needed for chapter 19.
tensorflow-serving-api==2.0.0 tensorflow-serving-api==2.1.0
#tensorflow-serving-api-gpu==2.0.0 #tensorflow-serving-api-gpu==2.1.0
tensorboard==2.0.0 tensorboard==2.1.1
tensorflow-datasets==1.3.0 tensorboard-plugin-profile==2.2.0
tensorflow-hub==0.6.0 tensorflow-datasets==2.1.0
tensorflow-probability==0.7 tensorflow-hub==0.7.0
tensorflow-probability==0.9.0
# Optional: only used in chapter 13. # Optional: only used in chapter 13.
# NOT AVAILABLE ON WINDOWS # NOT AVAILABLE ON WINDOWS
tfx==0.15.0 tfx==0.21.2
# Optional: only used in chapter 16. # Optional: only used in chapter 16.
# NOT AVAILABLE ON WINDOWS # NOT AVAILABLE ON WINDOWS
tensorflow-addons==0.6.0 tensorflow-addons==0.8.3
##### Reinforcement Learning library (chapter 18) ##### Reinforcement Learning library (chapter 18)
# There are a few dependencies you need to install first, check out: # There are a few dependencies you need to install first, check out:
# https://github.com/openai/gym#installing-everything # https://github.com/openai/gym#installing-everything
gym[atari]==0.15.4 gym[atari]==0.17.1
# On Windows, install atari_py using: # On Windows, install atari_py using:
# pip install --no-index -f https://github.com/Kojoley/atari-py/releases atari_py # pip install --no-index -f https://github.com/Kojoley/atari-py/releases atari_py
tf-agents==0.3.0rc0 tf-agents==0.3.0
##### Image manipulation ##### Image manipulation
imageio==2.6.1 imageio==2.6.1
Pillow==6.2.1 Pillow==7.0.0
scikit-image==0.16.2 scikit-image==0.16.2
graphviz graphviz==0.13.2
pydot==1.4.1 pydot==1.4.1
opencv-python==4.1.2.30 opencv-python==4.2.0.32
pyglet==1.3.2 pyglet==1.5.0
#pyvirtualdisplay # needed in chapter 16, if on a headless server #pyvirtualdisplay # needed in chapter 16, if on a headless server
# (i.e., without screen, e.g., Colab or VM) # (i.e., without screen, e.g., Colab or VM)
@ -72,23 +72,23 @@ pyglet==1.3.2
##### Additional utilities ##### Additional utilities
# Efficient jobs (caching, parallelism, persistence) # Efficient jobs (caching, parallelism, persistence)
joblib==0.14.0 joblib==0.14.1
# Easy http requests # Easy http requests
requests==2.22.0 requests==2.23.0
# Nice utility to diff Jupyter Notebooks. # Nice utility to diff Jupyter Notebooks.
nbdime==1.1.0 nbdime==2.0.0
# May be useful with Pandas for complex "where" clauses (e.g., Pandas # May be useful with Pandas for complex "where" clauses (e.g., Pandas
# tutorial). # tutorial).
numexpr==2.7.0 numexpr==2.7.1
# Optional: these libraries can be useful in the classification chapter, # Optional: these libraries can be useful in the classification chapter,
# exercise 4. # exercise 4.
nltk==3.4.5 nltk==3.4.5
urlextract==0.13.0 urlextract==0.14.0
# Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook support # Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook support
tqdm==4.40.0 tqdm==4.43.0
ipywidgets==7.5.1 ipywidgets==7.5.1