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sepsis3-mimic

Evaluation of the Sepsis-3 guidelines in MIMIC-III

seqsleepnet

ser-ensemble

ser-wav2vec

Speech Emotion Recognition using transfer learning with wav2vec on IEMOCAP.

ser-with-w2v2

ser_datasets_import

Python module for importing SER datasets

ser_icsigsys2019

Repository of code for Speech emotion recognition using voiced speech and attention model, submitted to ICSigSys 2019

serverless-ml-course

Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

sigmedia-avsr

Audio-Visual Speech Recognition using Sequence to Sequence Models

siim-fisabio-rsna-covid-19-detection

7th place solution

sismo-wsdm

Code release for "Towards Ordinal Suicide Ideation Detection on Social Media", WSDM 2021.

sleep-edfx-toolbox

A Matlab toolbox to download, extract and work with PhysioNet Sleep EDF Expanded Database

sleepyattention

Attention-Enhanced Sequence-to-Sequence Autoencoders for Continuous Sleepiness prediction.

slp2019

IEEE SLT 2021: Film Quality Prediction using Acoustic, Prosodic and Lexical Cues

sml_ew_emotiw2019

1st place, Engagement Prediction in the wild, a sub challenge in the 7th Emotion Recognition in the Wild 2019 Grand Challenge (EmotiW 2019)

smm4h_classification

smmt

Social Media Mining Toolkit (SMMT) main repository

snns

Tutorials and implementations for "Self-normalizing networks"

soc220

Labs for Soc220

social-distancing

Code for estimating social distances from RGB cameras.

social-distancing-detection-tool-using-detectron2

socialtext-feature-extraction

Open source tool companion to CSCW paper titled "A Framework for Understanding the Relationship between Social Media Discourse and Mental Health"

sonyc_yamnet

SONYC Urban Sound Tagging with YAMNet Features

sound-classification-comparison

Classify sound using Deep Learning on Tensorflow and various machine learning models.

sound_classification_ml_production

In this repository you will find an end to end hands-on tutorial of an example of machine learning in production. The objective will be to create and deploy in the cloud a machine learning application able to recognize and classify different audio sounds.

soundcoughcoviddataset

soundnet

SoundNet: Learning Sound Representations from Unlabeled Video. NIPS 2016

soundrecognitiontcn

Sound Recognition Pipeline using Temporal Convolutional Networks

soxan

Wav2Vec for speech recognition, classification, and audio classification

sparse-evolutionary-artificial-neural-networks

sparse neural networks before training, sparse evolutionary artificial neural networks, scalable deep learning, very high dimensional data, complex networks