Deep Learning Statistical Arbitrage

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Code and website related to the eICU Collaborative Research Database

Self-supervised representation learning from 12-lead ECG data

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit (https://dl.acm.org/doi/10.1145/3450439.3451860).

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

Source code for a comprehensive analysis of MTL over EHR timeseries data.

Code to conduct experiments introduced in CLOCS: Contrastive Learning of Cardiac Signals

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Outlier Detection for Time Series with Recurrent Autoencoder Ensembles

Model summary in PyTorch similar to `model.summary()` in Keras

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Rapid research framework for Pytorch. The researcher's version of keras

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Audio Novelty Detection

The project is about applying CNNs to EEG data from CHB-MIT to predict seizure

Like Moving MNIST, but way more flexible