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A PyTorch library providing efficient, reusable components for deep learning with 3D data, including mesh operations and differentiable rendering.
A JAX library for rapid prototyping of large-scale attention-based vision models across images, video, audio, and multimodal data.
A dynamic inference wrapper for Transformer language models that enables per-token layer skipping to reduce computational FLOPs.
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