aabayarea

data-validation

Library for exploring and validating machine learning data

deepDiagnosis

A torch package for learning diagnosis models from temporal patient data.

DeepEHR

Chronic Disease Prediction Using Medical Notes

multilabel-classification-bert-icd10

ICD-10 codes classification with BERT and other models for CLEF eHealth Task 1

ontologies_api

Hypermedia API for NCBO's ontology-related projects

caml-mimic

multilabel classification of EHR notes

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

dkpro-cassis

UIMA CAS processing library written in Python

doctr

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

fastT5

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

federated

A framework for implementing federated learning

Federated-Learning

flask_app

gradient_boosting_tensorflow_xgboost

Benchmarking Gradient Boosting in TensorFlow and XGBoost

jpmml-sparkml-xgboost

JPMML-SparkML plugin for converting XGBoost4J-Spark models to PMML

model-analysis

Model analysis tools for TensorFlow

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

OCRmyPDF

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

pandas_exercises

Practice your pandas skills!

Parrot_Paraphraser

A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

philter-ucsf

Open source clinical text de-identification

practicalAI

📚 A practical approach to machine learning.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

serving

A flexible, high-performance serving system for machine learning models

smart-on-fhir-tutorial

SMART on FHIR developer tutorial

TextClassification

Text classification using different neural networks (CNN, LSTM, Bi-LSTM, C-LSTM).

transform

Input pipeline framework

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.