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anomaly-detection-resourcesby yzhao062
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A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
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A stock trading bot powered by Trump tweets
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A python library for user-friendly forecasting and anomaly detection on time series.
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Anomaly Detection with R
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Lightning ⚡️ fast forecasting with statistical and econometric models.
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Algorithms for outlier, adversarial and drift detection
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The Numenta Anomaly Benchmark
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Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
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A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
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:currency_exchange: Currency exchange rates library
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About 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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ARCH models in Python
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Anomaly Detection and Correlation library
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Financial Sentiment Analysis with BERT
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forecast package for R
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PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
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A simple weather app built with React Native and Realm
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A Python Library for Graph Outlier Detection (Anomaly Detection)
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An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
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ELKI Data Mining Toolkit
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Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
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Luminaire is a python package that provides ML driven solutions for monitoring time series data.
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Data, Benchmarks, and methods submitted to the M4 forecasting competition
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SentimentAnalysisby Edward1Chou
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文本情感分析
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Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类
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Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
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Model predictive control python toolbox
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A PyTorch implementation of the Deep SVDD anomaly detection method
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A Deep Graph-based Toolbox for Fraud Detection
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Time series analysis in the `tidyverse`
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Time-Series-Analysis-Tutorialby datamonday
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时间序列分析教程
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Sentiment Analysis Challenge
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Time-Series-ARIMA-XGBOOST-RNNby Jenniferz28
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Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
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Alarm clock with weather forecast 一款具有天气提醒功能的闹钟
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time-series-forecasting-with-pythonby jiwidi
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A use-case focused tutorial for time series forecasting with python
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Tidy time series forecasting
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Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
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Simple sentiment analysis with Ruby
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🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
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An Integrated Experimental Platform for time series data anomaly detection.
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Interactive Azure Sentinel Notebooks provides security insights and actions to investigate anomalies and hunt for malicious behaviors.
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Contrastive-Predictive-Coding-PyTorchby jefflai108
Python ![dot](https://kandi.openweaver.com/cnsmrrsrcs/assets/svg/libdot.svg)
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Contrastive Predictive Coding for Automatic Speaker Verification
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中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Chinese sentiment analysis library, which supports counting the number of different emotional words in the text
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MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
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Recipes-for-Mining-Twitterby ptwobrussell
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Adaptations and Extensions of Twitter-Related Examples from Mining the Social Web
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Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
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Contrastive Learning of Structured World Models
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About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
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anomaly-detection-resourcesby yzhao062
Anomaly detection related books, papers, videos, and toolboxes
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pyodby yzhao062
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
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trump2cashby maxbbraun
A stock trading bot powered by Trump tweets
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dartsby unit8co
A python library for user-friendly forecasting and anomaly detection on time series.
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AnomalyDetectionby twitter
Anomaly Detection with R
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statsforecastby Nixtla
Lightning ⚡️ fast forecasting with statistical and econometric models.
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alibi-detectby SeldonIO
Algorithms for outlier, adversarial and drift detection
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NABby numenta
The Numenta Anomaly Benchmark
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stocksightby shirosaidev
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
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orbitby uber
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
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1657
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swapby florianv
:currency_exchange: Currency exchange rates library
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Autoformerby thuml
About 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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luminolby linkedin
Anomaly Detection and Correlation library
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1095
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finBERTby ProsusAI
Financial Sentiment Analysis with BERT
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pytorch-tsby zalandoresearch
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
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994
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react-weatherby stage88
A simple weather app built with React Native and Realm
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902
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pygodby pygod-team
A Python Library for Graph Outlier Detection (Anomaly Detection)
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893
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datastream.ioby MentatInnovations
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
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elkiby elki-project
ELKI Data Mining Toolkit
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PyABSAby yangheng95
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
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luminaireby zillow
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
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674
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M4-methodsby Mcompetitions
Data, Benchmarks, and methods submitted to the M4 forecasting competition
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SentimentAnalysisby Edward1Chou
文本情感分析
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Weibo-Analystby KimMeen
Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类
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636
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MIDASby Stream-AD
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
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611
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do-mpcby do-mpc
Model predictive control python toolbox
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589
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Deep-SVDD-PyTorchby lukasruff
A PyTorch implementation of the Deep SVDD anomaly detection method
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588
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DGFraudby safe-graph
A Deep Graph-based Toolbox for Fraud Detection
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559
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timetkby business-science
Time series analysis in the `tidyverse`
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557
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Time-Series-Analysis-Tutorialby datamonday
时间序列分析教程
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529
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sunny-side-upby Lab41
Sentiment Analysis Challenge
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528
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Time-Series-ARIMA-XGBOOST-RNNby Jenniferz28
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
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516
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WeatherAlarmClockby kaku2015
Alarm clock with weather forecast 一款具有天气提醒功能的闹钟
Java![dot](https://kandi.openweaver.com/cnsmrrsrcs/assets/svg/libdot.svg)
509
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time-series-forecasting-with-pythonby jiwidi
A use-case focused tutorial for time series forecasting with python
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fableby tidyverts
Tidy time series forecasting
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498
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License: Strong Copyleft (GPL-3.0)
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DeepADoTSby KDD-OpenSource
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
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493
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sentimentalby 7compass
Simple sentiment analysis with Ruby
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449
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rrcfby kLabUM
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
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441
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Surusby Netflix
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440
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Curveby baidu
An Integrated Experimental Platform for time series data anomaly detection.
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440
Updated: 3 y ago
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Azure-Sentinel-Notebooksby Azure
Interactive Azure Sentinel Notebooks provides security insights and actions to investigate anomalies and hunt for malicious behaviors.
Jupyter Notebook![dot](https://kandi.openweaver.com/cnsmrrsrcs/assets/svg/libdot.svg)
439
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Contrastive-Predictive-Coding-PyTorchby jefflai108
Contrastive Predictive Coding for Automatic Speaker Verification
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424
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cnsentiby hiDaDeng
中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Chinese sentiment analysis library, which supports counting the number of different emotional words in the text
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411
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memae-anomaly-detectionby donggong1
MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
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387
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Recipes-for-Mining-Twitterby ptwobrussell
Adaptations and Extensions of Twitter-Related Examples from Mining the Social Web
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382
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Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysisby kaushikjadhav01
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
Python![dot](https://kandi.openweaver.com/cnsmrrsrcs/assets/svg/libdot.svg)
378
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c-swmby tkipf
Contrastive Learning of Structured World Models
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376
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Anomaly-Transformerby thuml
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
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350
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