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#

temporal-models

Here are 21 public repositories matching this topic...

[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

STCN: Stochastic Temporal Convolutional Networks

  • UpdatedJul 15, 2020
  • Python

Temporal models and versioning for Laravel

  • UpdatedApr 21, 2023
  • 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++

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

Benchmarks of the Temporal EMF time-aware metamodeling framework and persistence backend associated to a publication in ER in 2018

  • UpdatedNov 4, 2020
  • Java

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

Tools to help verify the correct implementation of algorithms

  • UpdatedDec 23, 2014
  • R

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