Deepo

Features

Dockerfile Generators - Command-line tool that generates custom Dockerfiles by resolving dependencies and installation order for selected frameworks.
Deep Learning Environment Configurations - Instantly provisioning a reproducible deep learning workspace with GPU support and popular frameworks pre-installed.
Docker Images - Ships pre-configured Docker images bundling deep learning frameworks with GPU or CPU support for instant environment setup.
Custom Image Assemblers - Assembles a Docker image by layering user-selected deep learning frameworks and tools in a modular fashion.
Multi-Framework Deep Learning Setups - Configuring a single environment that supports multiple deep learning frameworks like TensorFlow, PyTorch, and Keras simultaneously.
Custom Deep Learning Image Builds - Generates a Dockerfile from a command-line description of desired frameworks, automatically resolving dependencies and installation order.
GPU-Accelerated Containers - Configures container runtime arguments to expose NVIDIA GPUs and installs CUDA dependencies when GPU acceleration is requested.
Deep Learning Containers - Provides Docker containers with NVIDIA GPU access for running accelerated deep learning workloads without manual driver configuration.
Modular Dockerfile Assemblers - Builds images by composing independent framework installation scripts into a single Dockerfile based on user selections.
CLI-Driven Dependency Solvers - Parses a CLI description of desired frameworks and automatically determines the correct installation order and version compatibility.
Layered Image Composition - Stacks pre-built Docker layers for each framework to create a final image without rebuilding common dependencies.
Pre-built Image Publishing - Hosts a collection of ready-to-use Docker images on a public registry, each bundling a specific set of deep learning frameworks.
Deep Learning Experiment Environments - Creating isolated, shareable container environments that ensure consistent deep learning experiment results across machines.
Host-Guest Mounts - Shares directories between the host and container using volume mounts to keep experiment data isolated and persistent.

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See all 30 alternatives to Deepo

ufoymdeepo

Features

Open-source alternatives to Deepo

dusty-nv/jetson-containers

docker-library/docs

docker-archive-public/docker.labs

jupyter/docker-stacks

Star history

Open-source alternatives to Deepo

dusty-nv/jetson-containers

docker-library/docs

docker-archive-public/docker.labs

jupyter/docker-stacks