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> A CMR-report contrastive model combining Vision Transformers and pretrained text encoders.

Qwen3-8B-syco_med-gated-attention-FT is a plug-and-play gated attention weight released for AI safety research.

PII Detection Model | 44M Parameters | Open Source

FitCareer_AI Introduction

CodonTranslator is a protein-conditioned codon sequence generation model trained on the representative-only data_v3 release.

Model weights, configurations, and vocabularies for CpGPT: A Foundation Model for DNA Methylation.

Tahoe-x1 is a family of perturbation-trained single-cell foundation models with up to 3 billion parameters, developed by Tahoe Therapeutics. Pretrained on 266 million single-cell transcriptomic profiles including the Tahoe-100M perturbation compendium, Tahoe-x1 achieves state-of-the-art performance…

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ScVI is a variational inference model for single-cell RNA-seq data that can learn an underlying latent space, integrate technical batches and impute dropouts. The learned low-dimensional latent representation of the data can be used for visualization and clustering.

CondSCVI is a variational inference model for single-cell RNA-seq data that can learn an underlying latent space. The predictions of the model are meant to be afterward used for deconvolution of a second spatial transcriptomics dataset in DestVI.

ScVI is a variational inference model for single-cell RNA-seq data that can learn an underlying latent space, integrate technical batches and impute dropouts. The learned low-dimensional latent representation of the data can be used for visualization and clustering.

CondSCVI is a variational inference model for single-cell RNA-seq data that can learn an underlying latent space. The predictions of the model are meant to be afterward used for deconvolution of a second spatial transcriptomics dataset in DestVI.

This repository contains pre-trained models from RadImageNet, a large-scale radiologic image dataset designed to facilitate transfer learning for medical imaging applications.

Target-Conditioned Molecular Ideation Model for Drug Discovery Research

A diffusion language model for genome-scale perturbation prediction across diverse cellular contexts.

Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants.