A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

• UpdatedApr 6, 2024

[ECCV 2022] Official implementation of the paper "SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos"

• UpdatedMay 6, 2023
• Python

[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning

• UpdatedJan 3, 2023
• Python

When: recombinant design pattern for state machines with a temporal model

• UpdatedNov 7, 2018
• TypeScript

STCN: Stochastic Temporal Convolutional Networks

• UpdatedJul 15, 2020
• Python

Temporal models and versioning for Laravel

• UpdatedApr 21, 2023
• PHP

• UpdatedNov 20, 2017
• PHP

This is the UNOFFICIAL implementation of the ICCV 2019 paper 'Exploiting Temporal Consistency for Real-Time Video Depth Estimation'.

• UpdatedMay 17, 2021
• Python

Muse 2 EEG analysis with PyTorch + CNNs.

• UpdatedJul 2, 2021
• Jupyter Notebook

Temporal Lifting (TLift), a model-free temporal cooccurrence based score weighting method proposed in "Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting".

• UpdatedJul 24, 2020
• Python

Object Tracking using Particle Filter

• UpdatedMay 4, 2017
• C++

Please check the updated repositoryhttps://github.com/noureldien/timeception

• UpdatedMar 30, 2021
• Python

MCRM: Mother Compact Recurrent Memory

• UpdatedAug 23, 2018
• Python

Utility library for IBM DB2 for Linux

• UpdatedMar 5, 2018
• SQLPL

Simulate and visualize Continuous Thought Machines (CTMs) — biologically-inspired neurons with memory and phase-based synchronization. A Streamlit app for exploring neural dynamics, built for learning, research, and a bit of fun.

• UpdatedMay 17, 2025
• Python

A set of extensions for PostgreSQL including temporal features

• UpdatedMar 5, 2018
• PLpgSQL

Temporal point process models for time-limited coupon prediction (KDD 2017).

• UpdatedMar 28, 2018
• Jupyter Notebook

Re-implementation and extension of the CVPR 2016 paper, “A Hierarchical Deep Temporal Model for Group Activity Recognition.” This project reproduces the original two-stage LSTM architecture in PyTorch with enhanced baselines, modernized components, and improved performance.

• UpdatedNov 7, 2025
• Python

Tools to help verify the correct implementation of algorithms

• UpdatedDec 23, 2014
• R

This is a final group project for Computational Biology (CS167) implementing Tempo (http://bcb.cs.tufts.edu/tempo/) on a unique Parkinson's dataset. This project was contributed to equally by Kevin Kapner, Carlos Lopez-Rodriguez, and Qing Zhu.

• UpdatedDec 12, 2018
• Python