awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

cancertypeprediction

This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".

dcec

dialogflow-web-v2

🖥 Web App for Dialogflow V2. 100/100 PWA. Actions on Google, Rich Components and more

fast-and-scalable-neural-embedding-models-for-biomedical-sentence-classification

generated-sample-data

Contains all the bundles that are loaded into the FHIR server

joint-ner-and-re

This repository contains the corpora and supplementary data, along with instructions for recreating the experiments, for our paper: "End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models".

layerwise-relevance-propagation

Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers

lrp_for_lstm

Layer-wise Relevance Propagation (LRP) for LSTMs

medical_image_segmentation

Medical image segmentation

ndd

Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity

neuron-importance-zsl

[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance

nlp_under_resource

Supplementary materials for Bengali Word2Vec model

pancancer

Building classifiers using cancer transcriptomes across 33 different cancer-types

pytorch-lrp

Basic LRP implementation in PyTorch

sample-patients-stu3

scvae

Deep learning for single-cell transcript counts

seco-mlc

SeCo for learning multi-label rules

smart_sample_patients

Utilities to generate sample data as SMArt RDF

train4fair-client-dashboard

xaibot

XAI chat bot for Titanic model - created with plumber

zeppelin-notebooks

Gallery of Apache Zeppelin notebooks