Added Dockerfile

docker/Dockerfile

+# TensorFlow GPU image as base
+FROM tensorflow/tensorflow:1.15.0-gpu-py3
+
+# Set environment variables
+ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
+ENV PATH /opt/conda/bin:$PATH
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    wget \
+    git \
+    libssl-dev \
+    libcurl4-openssl-dev \
+    libxml2-dev \
+    libxt-dev \
+    gdebi-core \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install Miniconda
+RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && \
+    /bin/bash ~/miniconda.sh -b -p /opt/conda && \
+    rm ~/miniconda.sh
+
+# Create Conda environment and install packages
+RUN conda create -y -n neuroestimator && \
+    tensorflow-estimator=1.15.1 \
+    r-keras=2.3.0.0 \
+    r-tensorflow=2.2.0 \
+    h5py=2.10.0 \
+    hdf5=1.10.6 \
+    r-dplyr=1.0.9 \
+    r-base \
+    r-remotes \
+    'r-reticulate<=1.24' && \
+
+# Install RStudio Server
+RUN wget wget https://download2.rstudio.org/server/jammy/amd64/rstudio-server-2024.12.1-563-amd64.deb && \
+    gdebi --non-interactive rstudio-server-2024.12.1-563-amd64.deb && \
+    rm rstudio-server-2024.12.1-563-amd64.deb
+
+# Set up user for RStudio
+RUN useradd -m rstudio && echo "rstudio:rstudio" | chpasswd && adduser rstudio sudo
+
+# Set Conda environment activation in RStudio
+RUN echo "export PATH=/opt/conda/bin:$PATH" >> /etc/profile.d/conda.sh && \
+    echo "source activate neuroestimator" >> /home/rstudio/.bashrc
+