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Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoenco...
Created
2020-01-31
75 commits to master branch, last one 3 years ago
TODS: An Automated Time-series Outlier Detection System
Created
2020-09-08
437 commits to master branch, last one about a year ago
A toolkit for machine learning from time series
Created
2022-12-20
4,795 commits to main branch, last one a day ago
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
Created
2023-06-19
17 commits to main branch, last one 7 months ago
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting v...
Created
2022-05-17
308 commits to release_v1.1 branch, last one about a month ago
MOMENT: A Family of Open Time-series Foundation Models
Created
2024-05-10
93 commits to main branch, last one 16 days ago
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
Created
2020-10-15
45 commits to main branch, last one about a year ago
The official code 👩💻 for - TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Created
2024-02-27
4 commits to master branch, last one about a month ago
Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
Created
2021-01-10
11 commits to master branch, last one 3 years ago
Time series anomaly detection algorithm implementations for TimeEval (Docker-based)
Created
2022-01-05
52 commits to main branch, last one 6 months ago
Evaluation Tool for Anomaly Detection Algorithms on Time Series
Created
2021-12-09
1,048 commits to main branch, last one 2 months ago
Awesome Time-Series and Spatio-Temporal Related
Created
2023-03-25
25 commits to main branch, last one about a year ago
CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust representations of time series data.
Created
2024-07-29
22 commits to main branch, last one 17 days ago
GutenTAG is an extensible tool to generate time series datasets with and without anomalies; integrated with TimeEval.
Created
2021-12-09
306 commits to main branch, last one 3 months ago
Supporting material and website for the paper "Anomaly Detection in Time Series: A Comprehensive Evaluation"
Created
2021-12-17
32 commits to main branch, last one about a year ago
[official] PyTorch implementation of TimeVQVAE-AD, a time series anomaly detection model.
Created
2023-12-14
64 commits to main branch, last one 7 months ago
PyTorch implementation of "Drift doesn't Matter: Dynamic Decomposition with Dffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection" (NeurIPS 2023)
Created
2023-10-07
19 commits to main branch, last one about a month ago