msdaLibrary for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
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AnomalizeTidy anomaly detection
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LuminaireLuminaire is a python package that provides ML driven solutions for monitoring time series data.
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AdtkA Python toolkit for rule-based/unsupervised anomaly detection in time series
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awesome-time-seriesResources for working with time series and sequence data
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PyoddsAn End-to-end Outlier Detection System
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khiva-rubyHigh-performance time series algorithms for Ruby
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MerlionMerlion: A Machine Learning Framework for Time Series Intelligence
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TelemanomA framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
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DeepadotsRepository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
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mtad-gat-pytorchPyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
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MatrixprofileA Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
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Adaptive AlertingAnomaly detection for streaming time series, featuring automated model selection.
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Getting Things Done With PytorchJupyter 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 Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
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PycaretAn open-source, low-code machine learning library in Python
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Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
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TaganomalyAnomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
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Anomaly Detectionanomaly detection with anomalize and Google Trends data
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support resistance lineA well-tuned algorithm to generate & draw support/resistance line on time series. 根据时间序列自动生成支撑线压力线
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pompR package for statistical inference using partially observed Markov processes
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Human Activity RecognitionA new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.
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SMC.jlSequential Monte Carlo algorithm for approximation of posterior distributions.
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ECGClassifierCNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)
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DigitalCellSorterDigital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:
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MStreamAnomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
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sugrrantsSUpporting GRaphics with R for ANalysing Time Series
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KFASKFAS: R Package for Exponential Family State Space Models
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timely-beliefsModel data as beliefs (at a certain time) about events (at a certain time).
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Meta-GDN AnomalyDetectionImplementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
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Occupancy-DetectionOccupancy detection of an office room from light, temperature, humidity and CO2 measurements
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time-series-labsHands-on training labs for Deep Learning in Time Series course by CERTIFAI
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readabsDownload and tidy time series data from the Australian Bureau of Statistics in R
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ManTraNet-pytorchImplementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch
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mongofluxdReal time sync from MongoDB into InfluxDB
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ninja automatorAcquire data with honour and wisdom — using the way of the ninja.
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P4JPeriodic time series analysis tools based on information theory
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ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
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ctsaA Univariate Time Series Analysis and ARIMA Modeling Package in ANSI C. Updated with SARIMAX and Auto ARIMA.
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cantorData abstraction, storage, discovery, and serving system
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scanstatisticsAn R package for space-time anomaly detection using scan statistics.
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FredA fast, scalable and light-weight C++ Fréchet distance library, exposed to python and focused on (k,l)-clustering of polygonal curves.
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tscompdataTime series competition data
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okamaInvestment portfolio and stocks analyzing tools for Python with free historical data
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AutoformerAbout Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
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state-spacesSequence Modeling with Structured State Spaces
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influxdb-haHigh-availability and horizontal scalability for InfluxDB
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tsmpR Functions implementing UCR Matrix Profile Algorithm
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xephon-kA time series database prototype with multiple backends
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benfordslawbenfordslaw is about the frequency distribution of leading digits.
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A-Detector⭐ An anomaly-based intrusion detection system.
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talariaTalariaDB is a distributed, highly available, and low latency time-series database for Presto
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MemStreamMemStream: Memory-Based Streaming Anomaly Detection
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