Popular GitHub Repositories for Spatio Temporal

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Time series forecasting with PyTorch

List of tools & datasets for anomaly detection on time-series data.

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

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

Keras Temporal Convolutional Network. Supports Python and R.

An open-source toolbox for action understanding based on PyTorch

novel deep learning research works with PaddlePaddle

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

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.