Update requirements.txt

requirements.txt

@@ -4,17 +4,17 @@
 
 ##### Core scientific packages
 jupyter==1.0.0
-matplotlib==3.1.2
-numpy==1.17.3
-pandas==0.25.3
-scipy==1.3.1
+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==0.90
+xgboost==1.0.2
 
 ##### TensorFlow-related packages
 
@@ -25,45 +25,45 @@ xgboost==0.90
 # you must install CUDA, cuDNN and more: see tensorflow.org for the detailed
 # installation instructions.
 
-tensorflow==2.0.1
-#tensorflow-gpu==2.0.0
+tensorflow==2.1.0
 
 # Optional: the TF Serving API library is just needed for chapter 19.
-tensorflow-serving-api==2.0.0
-#tensorflow-serving-api-gpu==2.0.0
+tensorflow-serving-api==2.1.0
+#tensorflow-serving-api-gpu==2.1.0
 
-tensorboard==2.0.0
-tensorflow-datasets==1.3.0
-tensorflow-hub==0.6.0
-tensorflow-probability==0.7
+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==0.15.0
+tfx==0.21.2
 
 # Optional: only used in chapter 16.
 # NOT AVAILABLE ON WINDOWS
-tensorflow-addons==0.6.0
+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]==0.15.4
+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==0.3.0rc0
+tf-agents==0.3.0
 
 
 ##### Image manipulation
 imageio==2.6.1
-Pillow==6.2.1
+Pillow==7.0.0
 scikit-image==0.16.2
-graphviz
+graphviz==0.13.2
 pydot==1.4.1
-opencv-python==4.1.2.30
-pyglet==1.3.2
+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)
@@ -72,23 +72,23 @@ pyglet==1.3.2
 ##### Additional utilities
 
 # Efficient jobs (caching, parallelism, persistence)
-joblib==0.14.0
+joblib==0.14.1
 
 # Easy http requests
-requests==2.22.0
+requests==2.23.0
 
 # 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
 # tutorial).
-numexpr==2.7.0
+numexpr==2.7.1
 
 # Optional: these libraries can be useful in the classification chapter,
 # exercise 4.
 nltk==3.4.5
-urlextract==0.13.0
+urlextract==0.14.0
 
 # Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook support
-tqdm==4.40.0
+tqdm==4.43.0
 ipywidgets==7.5.1