deep-learning-containers
Deep Learning Images
Pre-built Docker images for training and serving deep learning models on AWS.
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
1k stars
58 watching
464 forks
Language: Python
last commit: 7 days ago awsdockerpytorchsagemakertensorflow
Related projects:
Repository | Description | Stars |
---|---|---|
matifali/dockerdl | A Docker image for deep learning environments with pre-installed packages and tools | 78 |
dockershelf/dockershelf | Provides pre-built, stable Docker images for popular languages and tools. | 88 |
aws/aws-codebuild-docker-images | Provides pre-built Docker images for AWS CodeBuild environments | 1,125 |
trn84/recipe-wizard | Automates creation of Docker containers for running OpenGL and CUDA applications on remote servers with optional integration of ROS, Gazebo, and Python deep learning tools. | 40 |
darshandeshpande/jax-models | Provides a collection of deep learning models and utilities in JAX/Flax for research purposes. | 151 |
dwyl/learn-docker | Learn how to use Docker containers to deploy and run applications in isolated environments. | 235 |
eduardoleao052/js-pytorch | A JavaScript library that provides GPU-accelerated deep learning capabilities with automatic differentiation and neural network layers. | 1,084 |
dmarnerides/pydlt | A PyTorch-based toolbox for building and training deep learning models with ease. | 204 |
vict0rsch/deep_learning | A collection of tutorials and resources on implementing deep learning models using Python libraries such as Keras and Lasagne. | 426 |
fielddb/deeplearntoolbox | A Matlab toolbox for building and training deep neural networks | 0 |
humblec/dockit | Automates and simplifies Docker actions and container deployments with features for managing images, building containers, starting containers, and deploying GlusterFS. | 107 |
magnet-dl/magnet | An API that simplifies the development of deep learning architectures by providing a high-level abstraction around PyTorch. | 360 |
nitishsrivastava/deepnet | A collection of GPU-accelerated deep learning algorithms implemented in Python | 895 |
matthias-wright/flaxmodels | Provides pre-trained deep learning models for the Jax/Flax ecosystem. | 238 |
arun-gupta/docker-images | A collection of reusable Docker images for running specific software stacks in containers | 250 |