madhumitasushil Goto Github PK

ade_detection

ai-ml-ripperk

A high performance rule induction algorithm (RIPPERk).

anchor

Code for "High-Precision Model-Agnostic Explanations" paper

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

bio-lm

We evaluate many models used for biomedical and clinical nlp tasks, and train new models that perform much better.

biomedical_clinical_llms

breastcapathclassification

breast cancer pathology classification with supervised and zero-shot methods

clicr

Machine reading comprehension on clinical case reports

cliner

Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.

clinical_datasets

List of publicly-available clinical datasets

code-status-annotations-mimic

Code status annotations for 1174 MIMIC-III discharge summaries

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs

deeplearningexamples

Deep Learning Examples

excitement-open-platform

Open Source Platform for Recognizing Textual Entailments (RTE)

getahead2019

imp_vis

Interactive in-browser importance score visualizer tool for sequences

interpretability-literature

interpretable_decision_sets

language

Shared repository for open-sourced projects from the Google AI Language team.

medspacy

Library for clinical NLP with spaCy.

models

Models and examples built with TensorFlow

oncllmextraction

Expert-Curated Oncology Reports to Advance Language Model Inference

rdocchallenge

Our approach to the CEGS N-GRID 2016 Shared Task in Clinical Natural Language Processing, about the detection of symptom severity.

rnn_expl_rules

sdae

Stacked Denoising AutoEncoder

sdoh_n2c2track2_ucsf_umcu

Code for the N2C2 SDOH challenge and a consequent article

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.