AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
☆12Feb 11, 2025Updated last year
Alternatives and similar repositories for deep-learning-containers
Users that are interested in deep-learning-containers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The pattern matching swiss knife☆16Oct 28, 2019Updated 6 years ago
- External project in GitHub for marketing purposes. This repo will be used for code samples that accompany blog posts on https://stability…☆15May 13, 2025Updated last year
- Using Low-rank adaptation to quickly fine-tune diffusion models + HF Accelerate☆16Apr 5, 2023Updated 3 years ago
- pixel art sandbox☆12Apr 5, 2024Updated 2 years ago
- ☆14Apr 12, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆12Jul 23, 2026Updated last month
- graphs from Draw.io