Stars
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Covid tracker using NextJs, D3 and TailwindCss
FeatTS is a Semi-Supervised Clustering method that leverages features extracted from the raw time series to create clusters that reflect the original time series.
Tensorflow implementation of paper 'Learning Representations for Time Series Clustering' (NIPS 2019 accept paper).
inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
Unsupervised time series anomaly detection library
Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)
Deep Visual Analytics for Time Series
KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
An up-to-date list of time-series related papers in AI venues.
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
Neighbourhood Sustainability Assessment using Publicly available data
MulTiDR: A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction
Malaria in Kenya (counties) - Data exploration with D3 using parallel coordinates + map + grid
clock_plot provides a simple way to visualize timeseries data, mapping 24 hours onto the 360 degrees of a polar plot
An LSTM auto-encoder for Multivariate Cyclic Time Series (MCTS) anomaly detection. The code can be adapted to any MCTS but was applied on Wafer dataset.
XmdvTool is an interactive data visualization toolkit for data anlytics
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
Time series classification and clustering code written in Python.
Multivariate Time Series Transformer, public version