Protein sequence embeddings distilled from ESMC.
Andrew DalPino
andrewdalpino
AI & ML interests
Independent AI Researcher, Deep Learning, Agents, Open-source, LLMs, SLMs, Computer Vision, Bioinformatics, Multimodality, Knowledge Distillation
Recent Activity
liked a dataset 25 days ago
arcinstitute/opengenome2 liked a model 26 days ago
arcinstitute/evo2_7b_base liked a model 26 days ago
arcinstitute/evo2_40b_baseOrganizations
Models and datasets for protein function prediction using the Gene Ontology.
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andrewdalpino/ESMC-600M-Protein-Function
Text Classification • Updated • 52 -
andrewdalpino/ESMC-600M-QAT-Protein-Function
Text Classification • Updated • 1 -
andrewdalpino/ESMC-300M-Protein-Function
Text Classification • Updated • 2 • 1 -
andrewdalpino/ESMC-300M-QAT-Protein-Function
Text Classification • Updated • 1
Single-image super-resolution trained by GAN.
Protein sequence embeddings distilled from ESMC.
Pretrained MewZoom models for purrfect quality image super-resolution.
Models and datasets for protein function prediction using the Gene Ontology.
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andrewdalpino/ESMC-600M-Protein-Function
Text Classification • Updated • 52 -
andrewdalpino/ESMC-600M-QAT-Protein-Function
Text Classification • Updated • 1 -
andrewdalpino/ESMC-300M-Protein-Function
Text Classification • Updated • 2 • 1 -
andrewdalpino/ESMC-300M-QAT-Protein-Function
Text Classification • Updated • 1
GPT-style language model with no positional embeddings.
Single-image super-resolution trained by GAN.