Models

AI Toolkit for Healthcare Imaging

Source code repository mirrored from GitHub (biomap-research/scFoundation).

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

MoLFormer is a class of models pretrained on SMILES string representations of up to 1.1B molecules from ZINC and PubChem.

Evo 2 is a state-of-the-art DNA language model trained autoregressively on trillions of DNA

Evo 2 is a state-of-the-art DNA language model trained autoregressively on trillions of DNA

Evo 2 is a state-of-the-art DNA language model trained autoregressively on trillions of DNA

Using Caduceus To use the pre-trained model for masked language modeling, use the following snippet: python from transformers import AutoModelForMaskedLM,

Using Caduceus To use the pre-trained model for masked language modeling, use the following snippet: python from transformers import AutoModelForMaskedLM,

Model artifact mirrored from the HuggingFace Hub.

Chai-1 is a multi-modal foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of benchmarks.

Model artifact mirrored from the HuggingFace Hub.

SMAFormer: Synergistic Multi-Attention Transformer for Medical Image