alis-sila/mitotic-transformer

Foundation models for genomics and transcriptomics pretrained on 3,000+ human genomes and 850+ diverse species, enabling chromatin accessibility prediction, splice site detection, and promoter classification across multiple model scales (InstaDeep, NVIDIA & TUM, Nature Methods 2023)

This repository contains the model weights for Zatom-1, a general-purpose model that unifies generative modeling and representation learning of 3D molecules and materials. Introduced in Zatom-1: Towards a Multimodal Foundation Model for 3D Molecules and Materials, Zatom-1 is a Transformer trained…

ProtGPT3-10B is a single-sequence autoregressive protein language model for protein sequence generation. It is the largest model in the ProtGPT3 family, an open-source suite of promptable and aligned protein language models ranging from 112M to 10B parameters.

*GenerRNA is a generative pre-trained language model for de novo RNA sequence design. It is a Transformer (decoder-only, GPT-style) model that learns the "language" of RNA from millions of natural sequences and can generate novel, realistic RNA sequences without any structural input, functional…

Complete layer-wise protein embeddings for 236,252 human proteins using ESMC models

# InstaNovo: De novo Peptide Sequencing Model ## Model Description