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A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.
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12 of 6,234 resources
A native MLX port of OpenMed/privacy-filter-multilingual-v2 for Apple Silicon PII detection and de-identification with OpenMed. This is the unquantized BF16 reference artifact. For the 8-bit sibling, see OpenMed/privacy-filter-multilingual-v2-mlx-8bit.
A native MLX port of OpenMed/privacy-filter-multilingual-v2, affine-quantized to 8-bit for faster and smaller Apple Silicon PII detection with OpenMed. For the unquantized BF16 reference, see OpenMed/privacy-filter-multilingual-v2-mlx.
🤗 Blog | 📄 Paper | 💻 Code | 🌐 FineMed | 🩺 DoctoBERT
This repository contains an MLX packaging of OpenMed/OpenMed-PII-ClinicalE5-Small-33M-v1 for Apple Silicon inference with OpenMed.
A native MLX port of OpenMed/privacy-filter-nemotron, affine-quantized to 8-bit for fast on-device PII detection on Apple Silicon. For the unquantized BF16 reference, see OpenMed/privacy-filter-nemotron-mlx.
PII Detection Model | 44M Parameters | Open Source
PII Detection Model | 434M Parameters | Open Source
Specialized model for Species Entity Recognition - Species and organism names
Specialized model for Chemical Entity Recognition - Identifies chemical compounds and substances in biomedical literature
Specialized model for Chemical Entity Recognition - Chemical entities from the BC5CDR dataset
This model had been created as part of joint research of HUMADEX research group (https://www.linkedin.com/company/101563689/) and has received funding by the European Union Horizon Europe Research and Innovation Program project SMILE (grant number 101080923) and Marie Skłodowska-Curie Actions…
This model is a fine-tuned version of DeBERTa on the PubMED Dataset.