floydhub/dl-docker resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

3853 stars · 802 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An all-in-one Docker image bundling popular deep learning frameworks (TensorFlow, Caffe, Theano, Torch, Keras, Lasagne) with CPU and GPU (CUDA/cuDNN) support, plus common scientific Python libraries and Jupyter. It provides Dockerfiles to spin up a fully functional deep learning environment quickly.

Use cases

• set up a deep learning environment with docker
• run tensorflow with gpu in a container
• all-in-one machine learning docker image
• try multiple deep learning frameworks without installing them
• reproducible deep learning dev environment
• jupyter notebook with cuda and cudnn preinstalled

When to choose

• you want a prebuilt environment with many DL frameworks and CUDA/cuDNN already configured
• you need a reproducible deep learning setup on Linux with NVIDIA GPUs
• you want to experiment with frameworks like Caffe, Theano, or Torch without manual installation

When to avoid

• you need current versions of TensorFlow or modern frameworks - the image is frozen on Ubuntu 14.04, CUDA 8, and cuDNN v5
• you only need a single framework - official framework images are better maintained
• you need GPU support on Windows or macOS - the GPU version only works on Linux
• you require an actively maintained project - the last release was in 2019

Facets

infra-config · maturity abandoned

deep-learning machine-learning container-runtime gpu-computing deep-learning machine-learning gpu-computing windows docker-image tensorflow caffe theano torch keras cuda cudnn jupyter containers docker linux macos gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="floydhub/dl-docker")