init

.devcontainer/Dockerfile

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+FROM tensorflow/tensorflow:latest-gpu
+
+# Install zstd, wget, python3-pip, and ngrok dependencies
+RUN apt-get update && apt-get install -y zstd wget python3-pip unzip
+
+# Download and set up CUDA repository pin
+RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin && \
+    mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600
+
+# Download and install CUDA repository
+RUN wget https://developer.download.nvidia.com/compute/cuda/12.3.2/local_installers/cuda-repo-ubuntu2204-12-3-local_12.3.2-545.23.08-1_amd64.deb && \
+    dpkg -i cuda-repo-ubuntu2204-12-3-local_12.3.2-545.23.08-1_amd64.deb && \
+    cp /var/cuda-repo-ubuntu2204-12-3-local/cuda-*-keyring.gpg /usr/share/keyrings/ && \
+    apt-get update && \
+    apt-get -y install cuda-toolkit-12-3
+
+# Download and install cuDNN repository
+RUN wget https://developer.download.nvidia.com/compute/cudnn/9.7.1/local_installers/cudnn-local-repo-ubuntu2204-9.7.1_1.0-1_amd64.deb && \
+    dpkg -i cudnn-local-repo-ubuntu2204-9.7.1_1.0-1_amd64.deb && \
+    cp /var/cudnn-local-repo-ubuntu2204-9.7.1/cudnn-*-keyring.gpg /usr/share/keyrings/ && \
+    apt-get update && \
+    apt-get -y install cudnn
+
+# Set environment variables
+ENV CUDA_HOME=/usr/local/cuda
+ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
+ENV PATH=${CUDA_HOME}/bin:${PATH}
+
+# Verify the installation
+RUN nvcc --version
+RUN nvidia-smi
+
+# Install Python packages
+RUN pip install sqlalchemy scikit-learn pandas matplotlib kaggle

.devcontainer/devcontainer.json

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+{
+	"name": "marketparser",
+	"image": "marketparser:latest"
+}