simmani91/GeneLinguaLM-v5

https://huggingface.co/simmani91/GeneLinguaLM-v5
Activeby simmani9101updated 5 months ago

GeneLinguaLM is a multimodal model that generates natural language descriptions of protein functions from amino acid sequences.

Sourced from

  • HuggingFacesimmani91/GeneLinguaLM-v5

Related resources

# DrugGen 2: A disease-aware language model for enhancing drug discovery DrugGen-2 is a disease‑aware language model specialized for generating drug-like SMILES structures based on both disease pathways and protein sequence.

Active462 months ago
Python

🧬 BioReason-ProAdvancing Protein Function Prediction withMultimodal Biological Reasoning

Active505 months ago

A compact protein language model distilled from ProtGPT2 using complementary-regularizer distillation---a method that combines uncertainty-aware position weighting with calibration-aware label smoothing to achieve 31% better perplexity than standard knowledge distillation at 3.8x compression.

Idle706 months ago
Python

This model aims to be a base template for new models. It has been generated using this raw template.

Idle1291 year ago
Python

BioMatrix is a multimodal biological foundation model that natively integrates 1D sequences, 3D structures, and natural language for both molecules and proteins within a single decoder-only architecture.

Active1063 months ago
Python

Chemma-2B is a continually pretrained gemma-2b model for organic molecules. It is pretrained on 40B tokens covering 110M+ molecules from PubChem as well as their chemical properties (molecular weight, synthetic accessibility score, drug-likeness etc.) and similarities (Tanimoto distance between…

Stale472 years ago
Python