jetson-containers and docker-python-deep-learning

Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 21/25
Stars: 4,465
Forks: 807
Downloads:
Commits (30d): 103
Language: Jupyter Notebook
License:
Stars: 118
Forks: 42
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: BSD-3-Clause
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About jetson-containers

dusty-nv/jetson-containers

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

This project helps developers and engineers deploy advanced AI and machine learning applications onto NVIDIA Jetson devices for edge AI and robotics. It provides ready-to-use software environments, called containers, for various AI tasks like large language models, computer vision, and robotics frameworks. Users are typically AI/ML developers working on embedded systems, robotics engineers, or researchers building intelligent edge devices.

edge-ai robotics-development embedded-systems-ai machine-learning-deployment computer-vision-engineering

About docker-python-deep-learning

petronetto/docker-python-deep-learning

A container for Deep Learning with Python 3

For data scientists, researchers, and machine learning engineers, this container simplifies setting up a Python 3 environment for deep learning projects. It provides a pre-configured, isolated workspace with essential libraries like TensorFlow, PyTorch, and Keras. You input your deep learning code and data, and it outputs trained models or analytical results, ready for further use.

machine-learning-engineering data-science-workflows model-training AI-development research-prototyping

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