BioSentVec
Bio Embeddings
Pre-trained word and sentence embeddings for biomedical text analysis
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
578 stars
17 watching
99 forks
Language: Jupyter Notebook
last commit: over 1 year ago bionlpfasttextmimic-iiinatural-language-processingpubmedsent2vecsentence-embeddingssentence-similarityword-embeddings
Related projects:
Repository | Description | Stars |
---|---|---|
ncbi-nlp/bluebert | Pre-trained language models for biomedical natural language processing tasks | 558 |
dmis-lab/biobert | Provides pre-trained language representation models for biomedical text mining tasks | 1,954 |
naver/biobert-pretrained | Provides pre-trained weights for a biomedical language representation model | 667 |
ncbi/genegpt | An LLM that leverages NCBI Web APIs to answer biomedical information questions with improved accuracy and reliability | 379 |
botcenter/spanishwordembeddings | This project generates Spanish word embeddings using fastText on large corpora. | 9 |
botcenter/spanish-sent2vec | This project trains a machine learning model to generate sentence embeddings from Spanish text data using the sent2vec algorithm. | 4 |
ebi-webcomponents/nightingale | A collection of reusable visualisation components for life sciences data | 124 |
ncbi-hackathons/spew | Automates the packaging and distribution of bioinformatics pipelines for seamless deployment on various workstations. | 26 |
materialsintelligence/mat2vec | Unsupervised word embeddings capture latent knowledge from materials science literature | 619 |
embeddings-benchmark/mteb | A benchmarking suite for evaluating text embedding models across various NLP tasks and datasets. | 1,952 |
satwikkottur/visualword2vec | Learning word embeddings from abstract images to improve language understanding | 19 |
vefstathiou/so_word2vec | This is a word embedding model trained on Stack Overflow posts for use in natural language processing tasks. | 40 |
tbepler/protein-sequence-embedding-iclr2019 | A framework for learning protein sequence and structure embeddings using deep learning models. | 258 |
bionode/biohacker | A workshop project providing examples and usage guidance for using bionode in bioinformatics pipelines | 5 |
emilyalsentzer/clinicalbert | Provides pre-trained embeddings for clinical text data | 674 |