open-gigaai/giga-models
GigaModels is an open-source platform providing training, inference, and deployment infrastructure for multi-modal, generative, and perceptual AI models.
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The repository offers a comprehensive toolkit for working with AI models throughout the entire lifecycle. It includes refactored training and inference code for diffusion models like Cosmos-Predict2.5 and Cosmos-Transfer2.5, PyTorch reproductions of Pi0/ Pi0.5 for vision-language-action tasks, and infrastructure for VLA foundation models. The platform supports model compression and deployment alongside training workflows, serving as a unified hub for researchers and developers working with generative and perceptual AI systems.
Frequently asked
- What is open-gigaai/giga-models?
- GigaModels is an open-source platform providing training, inference, and deployment infrastructure for multi-modal, generative, and perceptual AI models.
- Is giga-models open source?
- Yes — open-gigaai/giga-models is open source, released under the Apache-2.0 license.
- What language is giga-models written in?
- open-gigaai/giga-models is primarily written in Python.
- How popular is giga-models?
- open-gigaai/giga-models has 1.1k stars on GitHub.
- Where can I find giga-models?
- open-gigaai/giga-models is on GitHub at https://github.com/open-gigaai/giga-models.