PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖

tsl: a PyTorch library for processing spatiotemporal data.

EasyTPP: Towards Open Benchmarking Temporal Point Processes

Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.

Structured Prediction Helps 3D Human Motion Modelling - ICCV '19

CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks

This repo contains an implementation code for the weakly supervised surgical tool tracker. In this research, the temporal dependency in surgical video data is modeled using a convolutional LSTM which is trained only on image level labels to detect, localize and track surgical instruments.

Implementation of linear CorEx and temporal CorEx.

codes of DNNTSP model for Temporal Sets Prediction

TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.

Python binding for the MEOS library

AI System for Posture Correction in Physical Exercises

Measurement uncertainty handling in Python

RTGL is a Python framework for task generation in Relational Deep Learning. It provides a Relational Task Generation Language to simplify task generation when working with complex static/temporal relational data.

A code generator from high-level formal specifications for monitoring and pattern matching sequential/temporal data.

Python framework to manage time series

Python framework to manage time series structured as one-level dictionaries.

Timehash: Hierarchical temporal indexing for efficient "open now" search in large-scale POI systems.

A novel real-time event prediction method for heterogeneous multivariate temporal data (time point values, instantaneous events, or time intervals) that leverages multiple instances of multiple temporal patterns