Library of autoencoders for sequential data
☆455Feb 21, 2024Updated 2 years ago
Alternatives and similar repositories for sequitur
Users that are interested in sequitur are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series☆716Nov 11, 2025Updated 6 months ago
- PyTorch based autoencoder for sequential data☆44Oct 29, 2020Updated 5 years ago
- Variational Recurrent Autoencoder for timeseries clustering in pytorch☆493Jul 6, 2023Updated 2 years ago
- Lstm variational auto-encoder for time series anomaly detection and features extraction☆339Jun 24, 2020Updated 5 years ago
- We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.☆574Nov 21, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Understanding an LSTM Autoencoder☆38Jun 4, 2019Updated 6 years ago
- Anomaly detection for streaming data using autoencoders☆206Apr 26, 2022Updated 4 years ago
- InceptionTime: Finding AlexNet for Time Series Classification☆741Oct 16, 2023Updated 2 years ago
- Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments☆405Jul 31, 2024Updated last year
- A rule-based aproach to explain the output of any machine learning model☆17Apr 4, 2024Updated 2 years ago
- Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection wit…☆2,492Jun 30, 2024Updated last year
- A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from t…☆1,166Jan 17, 2025Updated last year
- PyTorch implementations of neural networks for timeseries classification☆112Jan 27, 2022Updated 4 years ago
- KDD21 Deep Learning Embeddings for Data Series Similarity Search☆20Aug 5, 2021Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Python implementation of the control charts used for process monitoring and anomaly detection☆13Jun 18, 2023Updated 2 years ago
- ☆215Sep 5, 2023Updated 2 years ago
- Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series an…☆6,063May 13, 2026Updated last week
- RNN based Time-series Anomaly detector model implemented in Pytorch.☆1,307Aug 2, 2021Updated 4 years ago
- Evolutionary decision trees☆11Jun 16, 2025Updated 11 months ago
- STUMPY is a powerful and scalable Python library for modern time series analysis☆4,093May 15, 2026Updated last week
- Deep Learning for Anomaly Deteection☆59Jan 5, 2023Updated 3 years ago
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆767Aug 20, 2024Updated last year
- ☆12Mar 19, 2018Updated 8 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆43Sep 13, 2022Updated 3 years ago
- Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation☆40Jul 21, 2021Updated 4 years ago
- SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.☆399Aug 11, 2024Updated last year
- Keras implementation of the Deep Temporal Clustering (DTC) model☆239Dec 5, 2025Updated 5 months ago
- Convolutional Variational Autoencoder for classification and generation of time-series☆44Feb 17, 2020Updated 6 years ago
- KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network☆927Mar 3, 2024Updated 2 years ago
- Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".☆597Apr 13, 2026Updated last month
- The machine learning toolkit for time series analysis in Python☆3,151May 20, 2026Updated last week
- Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).☆2,278Feb 9, 2026Updated 3 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆10May 1, 2023Updated 3 years ago
- Flexible time series feature extraction & processing☆438Sep 6, 2024Updated last year
- Usable implementation of Mogrifier, a circuit for enhancing LSTMs and potentially other networks, from Deepmind☆22Jun 9, 2024Updated last year
- Utilities for working with formulas, expressions, calls and other R objects☆17Nov 18, 2018Updated 7 years ago
- A universal time series representation learning framework☆847Jul 29, 2024Updated last year
- A Python package for time series classification☆1,873Jun 18, 2025Updated 11 months ago
- About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://o…☆1,033Dec 29, 2023Updated 2 years ago