ggjacob

ggjacob's Stars

• confident-ai/deepeval

  The LLM Evaluation Framework

  Language:Python5.9k28356508

• huggingface/notebooks

  Notebooks using the Hugging Face libraries 🤗

  Language:Jupyter Notebook4k751731.6k

• alextselegidis/easyappointments

  :date: Easy!Appointments - Self Hosted Appointment Scheduler

  Language:PHP3.6k1551.3k1.3k

• google/BIG-bench

  Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

  Language:Python3k48151601

• vectara/hallucination-leaderboard

  Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

  Language:Python2.1k471970

• allenai/scispacy

  A full spaCy pipeline and models for scientific/biomedical documents.

  Language:Python1.8k50324236

• Tiiiger/bert_score

  BERT score for text generation

  Language:Jupyter Notebook1.7k20161228

• NLPatVCU/medaCy

  :hospital: Medical Text Mining and Information Extraction with spaCy

  Language:Python434268191

• Georgetown-IR-Lab/QuickUMLS

  System for Medical Concept Extraction and Linking

  Language:Python397147596

• kormilitzin/med7

  Language:Jupyter Notebook214112528

• kavgan/ROUGE-2.0

  ROUGE automatic summarization evaluation toolkit. Support for ROUGE-[N, L, S, SU], stemming and stopwords in different languages, unicode text evaluation, CSV output.

  Language:Java21392537

• kdpsingh/clinspacy

  Clinical Natural Language Processing using spaCy, scispacy, and medspacy

  Language:R9961519

• xiidea/ezRbac

  A simple yet easy to implement Role Based Access Control Library for popular PHP framework Codeigniter

  Language:PHP85142539

• llbbl/codeigniter-chat

  web based chat -- right now just a simple shoutbox

  Language:PHP7911272

• wl-research/nubia

  NUBIA (NeUral Based Interchangeability Assessor) is a new SoTA evaluation metric for text generation

  Language:Python537311

• danieldeutsch/repro

  Repro is a library for easily running code from published papers via Docker.

  Language:Python401106

• mervebdurna/10-days-NLP-blog-series

  The Complete NLP Guide: Text to Context

  Language:Jupyter Notebook26218

• hltfbk/E3C-Corpus

  E3C is a freely available multilingual corpus (Italian, English, French, Spanish, and Basque) of semantically annotated clinical narratives to allow for the linguistic analysis, benchmarking, and training of information extraction systems. It consists of two types of annotations: (i) clinical entities: pathologies, symptoms, procedures, body parts, etc., according to standard clinical taxonomies (i.e. SNOMED-CT, ICD-10); and (ii) temporal information and factuality: events, time expressions, and temporal relations according to the THYME standard. The corpus is organised into three layers, with different purposes. Layer 1: about 25K tokens per language with full manual annotation of clinical entities, temporal information and factuality, for benchmarkingand linguistic analysis. Layer 2: 50-100K tokens per language with semi-automatic annotations of clinical entities, to be used to train baseline systems. Layer 3: about 1M tokens per language of non-annotated medical documents to be exploited by semi-supervised approaches. Researchers can use the benchmark training and test splits of our corpus to develop and test their own models. We trained several deep learning based models and provide baselines using the benchmark. Both the corpus and the built models will be available through the ELG platform.

  25713

• allenai/HyBayes

  Bayesian Assessment of Hypotheses

  Language:Python24601

• bachors/CI-FIle-Browser-Awesome

  Simple plugin file browser for codeigniter

  Language:JavaScript224113

• li-plus/rouge-metric

  A Python wrapper of the official ROUGE-1.5.5.pl script and a re-implementation of full ROUGE metrics.

  Language:Perl20200

• zhang-informatics/CancerBERT

  Language model for cancer domain

  Language:Python13502

• rubalsxngh/MedGraph-Biomedical-Knowledge-Graph-with-Mondo-Ontology

  MedGraph is a project focused to construct biomedical knowledge graph. It harnesses the power of pubMed for data retrieval, spaCy for NLP, Mondo Ontology for semantic enrichment, and pywikibot for integrating external knowledge. The final step involves deploying the graph onto the Neo4j database, creating a platform to explore medical information.

  Language:Python12103

• WuraolaOyewusi/How-to-use-ScispaCy-for-Biomedical-Named-Entity-Recognition-Abbreviation-Resolution-and-link-UMLS

  Language:Jupyter Notebook10303

• AlbertSuarez/casescan

  🔍 Clinical cases search by similarity specialized in Covid-19

  Language:JavaScript9400

• fpaupier/cancerous_cells_scans_processing

  Predict survival time from PET scans

  Language:Python9006

• danieldeutsch/SUPERT

  SUPERT: Unsupervised multi-document summarization evaluation & generation

  Language:Python7002

• fpaupier/cells_counting

  Counting cells in a blood smear using convolution as the pattern matching strategy

  Language:HTML100

• fpaupier/skin_section_segmentation

  Use of kmeans segmentation algorithm to classify dermis, epidermis and tumor infiltration.

  Language:HTML100

• jiangsn/LGBTQ-NER

  Applying Natural Language Processing (NLP) Tools to Assess LGBTQ+ Research Gaps in Tobacco Control Literature

  Language:Jupyter Notebook110