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research/jupyter_gpu_tensorflow/Dockerfile

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+# Use the official TensorFlow image with GPU support
+FROM tensorflow/tensorflow:latest-gpu-jupyter
+
+# Install necessary packages
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    curl \
+    ca-certificates \
+    graphviz \
+    && rm -rf /var/lib/apt/lists/*
+
+# RUN useradd -m -s /bin/bash oleg
+
+RUN mkdir -p /workspace/tf_cache
+
+# Install packages
+RUN pip install jupyterlab
+RUN pip install pandas
+RUN pip install numpy
+RUN pip install plotly
+RUN pip install seaborn
+RUN pip install statsmodels
+
+RUN pip install scikit-learn
+RUN pip install Arch
+RUN pip install Quantlib
+RUN pip install Backtrader
+RUN pip install pyfolio
+RUN pip install XGBoost
+
+# Install additional applications
+# RUN apt update
+# RUN apt-get install graphviz -y
+
+# Set the working directory
+WORKDIR /workspace
+
+# Expose the port for JupyterLab
+EXPOSE ${JUPYTER_PORT}
+
+# Command to run JupyterLab
+CMD ["sh", "-c", "jupyter lab --ip=0.0.0.0 --port=9999 --allow-root --no-browser --NotebookApp.token=''"]