Predicts the 3D structure of a protein from its amino acid sequence.

Generates embeddings of proteins from their amino acid sequences.

Predicts the 3D structure of a protein from its amino acid sequence.

NV-DINOv2 is a visual foundation model that generates vector embeddings for the input image.

ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.

GPU-accelerated generation of text embeddings used for question-answering retrieval.

GPU-accelerated generation of text embeddings used for question-answering retrieval.

NvClip generates vector embeddings for the given image or text.

Generates high-quality numerical embeddings from text inputs.

Embedding model for text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval.

A generative model of protein backbones for protein binder design.

GPU-accelerated generation of text embeddings.

GPU-accelerated generation of text embeddings used for question-answering retrieval.

Predicts the 3D structure of a protein from its amino acid sequence.

Predicts the 3D structure of how a molecule interacts with a protein.