V
VAE-for-Anomaly-Detectionby SchindlerLiang
Python 
62 Version:Current
License: No License (No License)
License: No License (No License)MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
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Phi Accrual Failure Detection
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Anomaly detection with diffusion models
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Anomaly Detection model uses Spark for training and Spark Streaming for testing
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Topological Anomaly Detection (TAD) per Gartley and Basener 2009
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Implementation of MTAD-GAT: Multivariate Time-series Anomaly Detection via Graph Attention Network
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Forecasting lectures and tutorials using Python
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A module for obtaining weather information
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tipranks.com API to access price targets, news sentiments and trending stocks.
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time-series-forecastingby Sangarshanan
Jupyter Notebook 58 Version:Current License: No License (No License)
License: No License (No License)Understanding time series forecasting
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Weather station for PIMORONI Inky Impression(5.7")
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A
AspectBasedSentimentAnalysisby yardstick17
Python 57 Version:Current License: No License (No License)
License: No License (No License)Aspect Based Sentiment Analysis is a special type of sentiment analysis. In an explicit aspect, opinion is expressed on a target(opinion target), this aspect-polarity extraction is known as ABSA.
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An Unsupervised Graph-based Toolbox for Fraud Detection
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Convolutional GRU
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Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis, published at NAACL 2018
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E
EndtoEnd---Predictive-modeling-using-Pythonby Sundar0989
Jupyter Notebook 57 Version:Current License: Strong Copyleft (GPL-3.0)
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TwitterSentimentAndCryptocurrenciesby Drabble
Jupyter Notebook 57 Version:Current License: No License (No License)
License: No License (No License)Analysis of Twitter Sentiment to discover correlations with Bitcoin and other cryptocurrencies
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The implementation of ACL 2019 paper DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
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Logarithmic Market Scoring Rule Prediction Market
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Anomaly detection using Autoencoder implemented with Keras 2.
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:euro: Currency exchange rates for Symfony
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Modeling Techniques in Predictive Analytics with Python and R
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Outlier Detection Thresholding
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Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
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bidireaction-trajectory-predictionby umautobots
Python 54 Version:Current License: No License (No License)
License: No License (No License)The code for Bi-directional Trajectory Prediction (BiTraP).
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Edge stream anomaly detection for Ruby
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Edge stream anomaly detection for Ruby
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Elastic Beat for fetching and shipping Office 365 audit events
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3rd place solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting
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We propose a model to analyze sentiment of online stock forum and use the information to predict stock volatility in the Chinese market. By generating a sentimental dictionary, we analyze the sentimental tendencies of each post as sentiment indicators. Such sentimental information will be fused with market data for prediction based on Recurrent Neural Networks (RNNs). We manually labeled the sentiment of forum post and make the data public available for research. Empirical evidence shows that 8 of the 10 stocks perform better with sentimental indicators.
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sina weibo capture and sentiment classification
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Tweets Sentiment Analyzer
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MSGARCH R Package
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[CVPR2022] Remember Intentions: Retrospective-Memory-based Trajectory Prediction
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A New Tool for Estimating and Optimizing Battery Life for Your Next Internet of Things Project
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基于LSTM的中文情绪识别
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O
Opinion-Mining-Projectby GalvanizeDataScience
Python 51 Version:Current License: No License (No License)
License: No License (No License)Feature-Based Sentiment Analysis in Python
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SS-LSTM model for pedestrian trajectory prediction
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A tool which performs Sentiment Analysis on Twitter by using Datumbox API.
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Custom implementation of the DenStream algorithm in Python. The purpose is to detect anomalies applying the algorithm on Telemetry data coming from the devices.
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Video tutorial and accompanying output for conducting text sentiment analysis in Twitter
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ob-project-templateby outlierbio
Jupyter Notebook 51 Version:Current License: No License (No License)
License: No License (No License)Outlier Bio analysis project template
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sentiment analysis for twitter
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Deep Adaptive Input Normalization for Time Series Forecasting
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speedy time-series forecasting for Node.js (Holt-Winters method)
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Python/Pandas code to perform fundamental analysis on companies listed on BOVESPA from the website Fundamentus (www.fundamentus.com.br)
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Analysis and figure code from Alley et al. 2019.
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Deep learning-based outlier/anomaly detection on multivariate data
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Custom implementation of the DenStream algorithm in Python. The purpose is to detect anomalies applying the algorithm on Telemetry data coming from the devices.
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V
VAE-for-Anomaly-Detectionby SchindlerLiang
MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
Python 62Updated: 4 y ago License: No License (No License)
62Updated: 4 y ago License: No License (No License)Support
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Twitter-Sentimental-Analysisby victorneo
Python 61Updated: 2 y ago License: Permissive (MIT)
61Updated: 2 y ago License: Permissive (MIT)Support
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go-failureby dgryski
Phi Accrual Failure Detection
Go 61Updated: 4 y ago License: No License (No License)
61Updated: 4 y ago License: No License (No License)Support
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diffusion-anomalyby JuliaWolleb
Anomaly detection with diffusion models
Python 61Updated: 2 y ago License: Permissive (Apache-2.0)
61Updated: 2 y ago License: Permissive (Apache-2.0)Support
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anomaly-detectionby keiraqz
Anomaly Detection model uses Spark for training and Spark Streaming for testing
Scala 60Updated: 4 y ago License: No License (No License)
60Updated: 4 y ago License: No License (No License)Support
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Topological-Anomaly-Detectionby dmarx
Topological Anomaly Detection (TAD) per Gartley and Basener 2009
Python 59Updated: 4 y ago License: Permissive (BSD-3-Clause)
59Updated: 4 y ago License: Permissive (BSD-3-Clause)Support
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mtad-gatby mangushev
Implementation of MTAD-GAT: Multivariate Time-series Anomaly Detection via Graph Attention Network
Python 59Updated: 2 y ago License: Permissive (MIT)
59Updated: 2 y ago License: Permissive (MIT)Support
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f
forecastingby mscharth
Forecasting lectures and tutorials using Python
Jupyter Notebook 59Updated: 3 y ago License: No License (No License)
59Updated: 3 y ago License: No License (No License)Support
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w
weatherby devfacet
A module for obtaining weather information
JavaScript 58Updated: 4 y ago License: Permissive (MIT)
58Updated: 4 y ago License: Permissive (MIT)Support
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t
tipranks-api-v2by janlukasschroeder
tipranks.com API to access price targets, news sentiments and trending stocks.
JavaScript 58Updated: 3 y ago License: No License (No License)
58Updated: 3 y ago License: No License (No License)Support
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time-series-forecastingby Sangarshanan
Understanding time series forecasting
Jupyter Notebook 58Updated: 4 y ago License: No License (No License)
58Updated: 4 y ago License: No License (No License)Support
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weather-impressionby kotamorishi
Weather station for PIMORONI Inky Impression(5.7")
Python 58Updated: 2 y ago License: Permissive (MIT)
58Updated: 2 y ago License: Permissive (MIT)Support
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A
AspectBasedSentimentAnalysisby yardstick17
Aspect Based Sentiment Analysis is a special type of sentiment analysis. In an explicit aspect, opinion is expressed on a target(opinion target), this aspect-polarity extraction is known as ABSA.
Python 57Updated: 4 y ago License: No License (No License)
57Updated: 4 y ago License: No License (No License)Support
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U
UGFraudby safe-graph
An Unsupervised Graph-based Toolbox for Fraud Detection
Python 57Updated: 4 y ago License: Permissive (Apache-2.0)
57Updated: 4 y ago License: Permissive (Apache-2.0)Support
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C
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delayed-memory-update-entnetby liufly
Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis, published at NAACL 2018
Python 57Updated: 4 y ago License: No License (No License)
57Updated: 4 y ago License: No License (No License)Support
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E
EndtoEnd---Predictive-modeling-using-Pythonby Sundar0989
Jupyter Notebook 57Updated: 3 y ago License: Strong Copyleft (GPL-3.0)
57Updated: 3 y ago License: Strong Copyleft (GPL-3.0)Support
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TwitterSentimentAndCryptocurrenciesby Drabble
Analysis of Twitter Sentiment to discover correlations with Bitcoin and other cryptocurrencies
Jupyter Notebook 57Updated: 3 y ago License: No License (No License)
57Updated: 3 y ago License: No License (No License)Support
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D
DOERby ArrowLuo
The implementation of ACL 2019 paper DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
Python 55Updated: 4 y ago License: No License (No License)
55Updated: 4 y ago License: No License (No License)Support
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a
arithmancerby google
Logarithmic Market Scoring Rule Prediction Market
Python 55Updated: 4 y ago License: Permissive (Apache-2.0)
55Updated: 4 y ago License: Permissive (Apache-2.0)Support
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A
AnomalyDetectionUsingAutoencoderby otenim
Anomaly detection using Autoencoder implemented with Keras 2.
Python 55Updated: 4 y ago License: Permissive (MIT)
55Updated: 4 y ago License: Permissive (MIT)Support
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symfony-swapby florianv
:euro: Currency exchange rates for Symfony
PHP 55Updated: 4 y ago License: No License (No License)
55Updated: 4 y ago License: No License (No License)Support
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m
mtpaby mtpa
Modeling Techniques in Predictive Analytics with Python and R
R 55Updated: 4 y ago License: No License (No License)
55Updated: 4 y ago License: No License (No License)Support
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p
pythreshby KulikDM
Outlier Detection Thresholding
Jupyter Notebook 55Updated: 2 y ago License: Permissive (BSD-2-Clause)
55Updated: 2 y ago License: Permissive (BSD-2-Clause)Support
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d
deviation-networkby GuansongPang
Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
Python 54Updated: 4 y ago License: Strong Copyleft (GPL-3.0)
54Updated: 4 y ago License: Strong Copyleft (GPL-3.0)Support
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b
bidireaction-trajectory-predictionby umautobots
The code for Bi-directional Trajectory Prediction (BiTraP).
Python 54Updated: 2 y ago License: No License (No License)
54Updated: 2 y ago License: No License (No License)Support
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m
midas-rubyby ankane
Edge stream anomaly detection for Ruby
Ruby 54Updated: 2 y ago License: Permissive (Apache-2.0)
54Updated: 2 y ago License: Permissive (Apache-2.0)Support
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m
midasby ankane
Edge stream anomaly detection for Ruby
C++ 53Updated: 4 y ago License: Permissive (Apache-2.0)
53Updated: 4 y ago License: Permissive (Apache-2.0)Support
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o365beatby counteractive
Elastic Beat for fetching and shipping Office 365 audit events
Go 53Updated: 4 y ago License: Proprietary (Proprietary)
53Updated: 4 y ago License: Proprietary (Proprietary)Support
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K
KDDCup2022-WPFby LongxingTan
3rd place solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting
Python 53Updated: 2 y ago License: No License (No License)
53Updated: 2 y ago License: No License (No License)Support
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E
EMM-for-stock-predictionby irfanICMLL
We propose a model to analyze sentiment of online stock forum and use the information to predict stock volatility in the Chinese market. By generating a sentimental dictionary, we analyze the sentimental tendencies of each post as sentiment indicators. Such sentimental information will be fused with market data for prediction based on Recurrent Neural Networks (RNNs). We manually labeled the sentiment of forum post and make the data public available for research. Empirical evidence shows that 8 of the 10 stocks perform better with sentimental indicators.
Python 52Updated: 4 y ago License: No License (No License)
52Updated: 4 y ago License: No License (No License)Support
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weiboby ffgg1452
sina weibo capture and sentiment classification
Python 52Updated: 5 y ago License: No License (No License)
52Updated: 5 y ago License: No License (No License)Support
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sentiment-analyzerby madhusudancs
Tweets Sentiment Analyzer
JavaScript 52Updated: 4 y ago License: Permissive (Apache-2.0)
52Updated: 4 y ago License: Permissive (Apache-2.0)Support
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M
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M
MemoNetby MediaBrain-SJTU
[CVPR2022] Remember Intentions: Retrospective-Memory-based Trajectory Prediction
Python 52Updated: 2 y ago License: No License (No License)
52Updated: 2 y ago License: No License (No License)Support
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Battlab-Oneby petersdw1
A New Tool for Estimating and Optimizing Battery Life for Your Next Internet of Things Project
Python 51Updated: 3 y ago License: No License (No License)
51Updated: 3 y ago License: No License (No License)Support
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sentiment_analysisby jie12366
基于LSTM的中文情绪识别
Python 51Updated: 2 y ago License: No License (No License)
51Updated: 2 y ago License: No License (No License)Support
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Opinion-Mining-Projectby GalvanizeDataScience
Feature-Based Sentiment Analysis in Python
Python 51Updated: 4 y ago License: No License (No License)
51Updated: 4 y ago License: No License (No License)Support
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SS-LSTMby xuehaouwa
SS-LSTM model for pedestrian trajectory prediction
Python 51Updated: 4 y ago License: No License (No License)
51Updated: 4 y ago License: No License (No License)Support
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t
twitter-sentiment-analysisby datumbox
A tool which performs Sentiment Analysis on Twitter by using Datumbox API.
PHP 51Updated: 4 y ago License: Permissive (MIT)
51Updated: 4 y ago License: Permissive (MIT)Support
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ods-anomalydetectionby anrputina
Custom implementation of the DenStream algorithm in Python. The purpose is to detect anomalies applying the algorithm on Telemetry data coming from the devices.
Python 51Updated: 4 y ago License: Permissive (MIT)
51Updated: 4 y ago License: Permissive (MIT)Support
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t
twitter-sentiment-analysisby mjhea0
Video tutorial and accompanying output for conducting text sentiment analysis in Twitter
R 51Updated: 4 y ago License: No License (No License)
51Updated: 4 y ago License: No License (No License)Support
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ob-project-templateby outlierbio
Outlier Bio analysis project template
Jupyter Notebook 51Updated: 4 y ago License: No License (No License)
51Updated: 4 y ago License: No License (No License)Support
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sentimentby pthrasher
sentiment analysis for twitter
Python 50Updated: 4 y ago License: No License (No License)
50Updated: 4 y ago License: No License (No License)Support
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d
dainby passalis
Deep Adaptive Input Normalization for Time Series Forecasting
Python 50Updated: 4 y ago License: No License (No License)
50Updated: 4 y ago License: No License (No License)Support
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N
Nostradamus.jsby wdamron
speedy time-series forecasting for Node.js (Holt-Winters method)
JavaScript 50Updated: 5 y ago License: Proprietary (Proprietary)
50Updated: 5 y ago License: Proprietary (Proprietary)Support
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f
fundamentus-apiby mv
Python/Pandas code to perform fundamental analysis on companies listed on BOVESPA from the website Fundamentus (www.fundamentus.com.br)
Python 50Updated: 2 y ago License: Permissive (MIT)
50Updated: 2 y ago License: Permissive (MIT)Support
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U
UniRep-analysisby churchlab
Analysis and figure code from Alley et al. 2019.
Jupyter Notebook 50Updated: 3 y ago License: No License (No License)
50Updated: 3 y ago License: No License (No License)Support
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DeepODby xuhongzuo
Deep learning-based outlier/anomaly detection on multivariate data
Python 50Updated: 2 y ago License: Permissive (MIT)
50Updated: 2 y ago License: Permissive (MIT)Support
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odsby anrputina
Custom implementation of the DenStream algorithm in Python. The purpose is to detect anomalies applying the algorithm on Telemetry data coming from the devices.
Python 49Updated: 4 y ago License: Permissive (MIT)
49Updated: 4 y ago License: Permissive (MIT)Support
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