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
updated
a model
4 minutes ago
andrewdalpino/ProtHash-V2-512-Tiny
updated
a model
4 minutes ago
andrewdalpino/ProtHash-512-Tiny
updated
a model
5 minutes ago
andrewdalpino/ProtHash-512
Organizations
GPT-style language model with no positional embeddings.
Single-image super-resolution trained by GAN.
Pretrained Ultra Zoom models for 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 • 23 -
andrewdalpino/ESMC-600M-QAT-Protein-Function
Text Classification • Updated • 11 -
andrewdalpino/ESMC-300M-Protein-Function
Text Classification • Updated • 12 • 1 -
andrewdalpino/ESMC-300M-QAT-Protein-Function
Text Classification • Updated • 9
Protein sequence embeddings distilled from ESMC.
Pretrained Ultra Zoom models for image super-resolution.
GPT-style language model with no positional embeddings.
Models and datasets for protein function prediction using the Gene Ontology.
-
andrewdalpino/ESMC-600M-Protein-Function
Text Classification • Updated • 23 -
andrewdalpino/ESMC-600M-QAT-Protein-Function
Text Classification • Updated • 11 -
andrewdalpino/ESMC-300M-Protein-Function
Text Classification • Updated • 12 • 1 -
andrewdalpino/ESMC-300M-QAT-Protein-Function
Text Classification • Updated • 9
Single-image super-resolution trained by GAN.