Update libraries

requirements.txt

@@ -4,20 +4,20 @@
 
 
 ##### Core scientific packages
-jupyterlab~=3.4.6
-matplotlib~=3.5.3
-numpy~=1.23.3
-pandas~=1.4.4
-scipy~=1.9.1
+jupyterlab~=4.0.8
+matplotlib~=3.8.1
+numpy~=1.26.2
+pandas~=2.1.3
+scipy~=1.11.3
 
 ##### Machine Learning packages
-scikit-learn~=1.1.2
+scikit-learn~=1.3.2
 
 # Optional: the XGBoost library is only used in chapter 7
-xgboost~=1.6.2
+xgboost~=2.0.2
 
 # Optional: the transformers library is only used in chapter 16
-transformers~=4.21.3
+transformers~=4.35.0
 
 ##### TensorFlow-related packages
 
@@ -27,26 +27,24 @@ transformers~=4.21.3
 # you must install CUDA, cuDNN and more: see tensorflow.org for the detailed
 # installation instructions.
 
-tensorflow~=2.10.0
+tensorflow~=2.14.0
+keras-core
 # Optional: the TF Serving API library is just needed for chapter 18.
-tensorflow-serving-api~=2.10.0  # or tensorflow-serving-api-gpu if gpu
+tensorflow-serving-api~=2.14.0  # or tensorflow-serving-api-gpu if gpu
 
-tensorboard~=2.10.0
-tensorboard-plugin-profile~=2.8.0
-tensorflow-datasets~=4.6.0
-tensorflow-hub~=0.12.0
+tensorboard~=2.14.1
+tensorboard-plugin-profile~=2.14.0
+tensorflow-datasets~=4.9.3
+tensorflow-hub~=0.15.0
 
 # Used in chapter 10 and 19 for hyperparameter tuning
-keras-tuner~=1.1.3
-
-# Optional: used in chapters 11 & 16 (for AdamW & seq2seq)
-tensorflow-addons~=0.17.1
+keras-tuner~=1.4.6
 
 ##### 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]~=0.26.1
+gym[Box2D,atari,accept-rom-license]~=0.26.2
 
 # WARNING: on Windows, installing Box2D this way requires:
 # * Swig: http://www.swig.org/download.html
@@ -55,39 +53,40 @@ gym[Box2D,atari,accept-rom-license]~=0.26.1
 # It's much easier to use Anaconda instead.
 
 ##### Image manipulation
-Pillow~=9.2.0
+Pillow~=10.1.0
 graphviz~=0.20.1
 
 ##### Google Cloud Platform - used only in chapter 19
-google-cloud-aiplatform~=1.17.0
-google-cloud-storage~=2.5.0
+google-cloud-aiplatform~=1.36.2
+google-cloud-storage~=2.13.0
 
 ##### Additional utilities
 
 # Efficient jobs (caching, parallelism, persistence)
-joblib~=1.1.0
+joblib~=1.3.2
 
 # Easy http requests
-requests~=2.28.1
+requests~=2.31.0
 
 # Nice utility to diff Jupyter Notebooks.
-nbdime~=3.1.1
+nbdime~=3.2.1
 
 # May be useful with Pandas for complex "where" clauses (e.g., Pandas
 # tutorial).
-numexpr~=2.8.3
+numexpr~=2.8.7
 
 # Optional: these libraries can be useful in chapter 3, exercise 4.
-nltk~=3.7
-urlextract~=1.6.0
+nltk~=3.8.1
+urlextract~=1.8.0
 
 # Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook
 #           support
-tqdm~=4.64.1
-ipywidgets~=8.0.2
+tqdm~=4.66.1
+ipywidgets~=8.1.1
 
 # Optional: pydot is only used in chapter 10 for tf.keras.utils.plot_model()
 pydot~=1.4.2
 
 # Optional: statsmodels is only used in chapter 15 for time series analysis
-statsmodels~=0.13.2
+statsmodels~=0.14.0
+