🐳 deepo

# ==================================================================
# module list
# ------------------------------------------------------------------
# darknet       latest (git)
# python        3.8    (apt)
# chainer       latest (pip)
# jupyter       latest (pip)
# mxnet         latest (pip)
# onnx          latest (pip)
# paddle        latest (pip)
# pytorch       latest (pip)
# tensorflow    latest (pip)
# jupyterlab    latest (pip)
# keras         latest (pip)
# ==================================================================

FROM ubuntu:20.04
ENV LANG C.UTF-8
RUN APT_INSTALL="apt-get install -y --no-install-recommends" && \
    PIP_INSTALL="python -m pip --no-cache-dir install --upgrade" && \
    GIT_CLONE="git clone --depth 10" && \

    rm -rf /var/lib/apt/lists/* \
           /etc/apt/sources.list.d/cuda.list \
           /etc/apt/sources.list.d/nvidia-ml.list && \

    apt-get update && \

# ==================================================================
# tools
# ------------------------------------------------------------------

    DEBIAN_FRONTEND=noninteractive $APT_INSTALL \
        build-essential \
        apt-utils \
        ca-certificates \
        wget \
        git \
        vim \
        libssl-dev \
        curl \
        unzip \
        unrar \
        cmake \
        && \

# ==================================================================
# darknet
# ------------------------------------------------------------------

    $GIT_CLONE https://github.com/AlexeyAB/darknet ~/darknet && \
    cd ~/darknet && \
    sed -i 's/GPU=0/GPU=0/g' ~/darknet/Makefile && \
    sed -i 's/CUDNN=0/CUDNN=0/g' ~/darknet/Makefile && \
    make -j"$(nproc)" && \
    cp ~/darknet/include/* /usr/local/include && \
    cp ~/darknet/darknet /usr/local/bin && \

# ==================================================================
# python
# ------------------------------------------------------------------

    apt-get update && \
    DEBIAN_FRONTEND=noninteractive $APT_INSTALL \
        python3.8 \
        python3.8-dev \
        python3.8-distutils \
        && \
    wget -O ~/get-pip.py \
        https://bootstrap.pypa.io/get-pip.py && \
    python3.8 ~/get-pip.py && \
    ln -s /usr/bin/python3.8 /usr/local/bin/python && \
    $PIP_INSTALL \
        numpy \
        scipy \
        pandas \
        scikit-image \
        scikit-learn \
        matplotlib \
        Cython \
        tqdm \
        && \
# ==================================================================
# chainer
# ------------------------------------------------------------------

    $PIP_INSTALL \
        chainer \
        && \

# ==================================================================
# jupyter
# ------------------------------------------------------------------

    $PIP_INSTALL \
        jupyter \
        && \

# ==================================================================
# mxnet
# ------------------------------------------------------------------

    DEBIAN_FRONTEND=noninteractive $APT_INSTALL \
        libatlas-base-dev \
        graphviz \
        && \

    $PIP_INSTALL \
        mxnet \
        graphviz \
        && \

# ==================================================================
# onnx
# ------------------------------------------------------------------

    DEBIAN_FRONTEND=noninteractive $APT_INSTALL \
        protobuf-compiler \
        libprotoc-dev \
        && \

    $PIP_INSTALL \
        numpy \
        protobuf \
        onnx \
        onnxruntime \
        && \

# ==================================================================
# paddle
# ------------------------------------------------------------------

    $PIP_INSTALL \
        paddlepaddle \
        && \

# ==================================================================
# pytorch
# ------------------------------------------------------------------

    $PIP_INSTALL \
        future \
        numpy \
        protobuf \
        enum34 \
        pyyaml \
        typing \
        && \
    $PIP_INSTALL \
        --pre torch torchvision torchaudio -f \
        https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html \
        && \

# ==================================================================
# tensorflow
# ------------------------------------------------------------------

    $PIP_INSTALL \
        tensorflow \
        && \

# ==================================================================
# jupyterlab
# ------------------------------------------------------------------

    $PIP_INSTALL \
        jupyterlab \
        && \

# ==================================================================
# keras
# ------------------------------------------------------------------

    # Now Keras comes packaged with TensorFlow 2
    # as tensorflow.keras. To start using Keras,
    # simply install TensorFlow 2.

# ==================================================================
# config & cleanup
# ------------------------------------------------------------------

    ldconfig && \
    apt-get clean && \
    apt-get autoremove && \
    rm -rf /var/lib/apt/lists/* /tmp/* ~/*

EXPOSE 8888 6006