whiteh4t/esm2-650m-protein-localization-lora

https://huggingface.co/whiteh4t/esm2-650m-protein-localization-lora
Activeby whiteh4t181updated 1 month ago
Python

Fine-tuned ESM-2 650M with LoRA for predicting protein subcellular localization (10 classes).

Sourced from

  • HuggingFacewhiteh4t/esm2-650m-protein-localization-lora

Related resources

Contrastively fine-tuned ESM-2 150M producing fixed-length protein embeddings where biological similarity maps to embedding proximity. Intended for retrieval, clustering, and nearest-neighbour transfer.

Active221 month ago
Python
Active01 month ago
Python

!Protein-ligand interaction header

Active63 months ago
Python

ProtSent-V2 35M plus one more contrastive pass on a fresh draw of the corpus, with a DMS/ProteinGym CoSENT target and a Global Orthogonal Regularization term added.

Active193 weeks ago
Python

A LoRA fine-tune of imageomics/bioclip-2.5-vith14 trained contrastively on the ReefNet 1.0 coral-reef species dataset (ReefNet/ReefNet-1.0), 92-class global curated split (train 48,312 / image-val 32,792 / image-test 33,090 / source-val 8,074; split cache 56ea94e36f9f).

Active41 month ago