Multimodal & Vision-Language Codebases

Open implementation of CLIP with training code, pretrained models, and zero-shot evaluation tooling.

Vision-based GUI parsing model and tooling for computer-use agents.

Compact vision-language model family with edge-focused deployment examples and strong OCR-oriented use cases.

NVIDIA multimodal model codebase with open checkpoints and reusable research materials for vision-language and video-language tasks.

Open platform of world models, tokenizers, and post-training tools designed for physical AI, robotics, and autonomous systems.