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anomaly-detection-resourcesby yzhao062
Python 7165 Version:Current License: Strong Copyleft (AGPL-3.0)
Anomaly detection related books, papers, videos, and toolboxes
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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
Jupyter Notebook 640 Version:Current License: No License (No License)
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
Jupyter Notebook 529 Version:Current License: Permissive (Apache-2.0)
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
Python 516 Version:Current License: No License (No License)
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
Jupyter Notebook 505 Version:Current License: No License (No License)
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 424 Version:Current License: Permissive (MIT)
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
JavaScript 382 Version:Current License: No License (No License)
Adaptations and Extensions of Twitter-Related Examples from Mining the Social Web
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Python 378 Version:Current License: No License (No License)
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
Python 7165Updated: 1 y ago License: Strong Copyleft (AGPL-3.0)
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pyodby yzhao062
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Python 7126Updated: 1 y ago License: Permissive (BSD-2-Clause)
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trump2cashby maxbbraun
A stock trading bot powered by Trump tweets
Python 6183Updated: 2 y ago License: Permissive (MIT)
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dartsby unit8co
A python library for user-friendly forecasting and anomaly detection on time series.
Python 5983Updated: 1 y ago License: Permissive (Apache-2.0)
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AnomalyDetectionby twitter
Anomaly Detection with R
R 3499Updated: 1 y ago License: Strong Copyleft (GPL-3.0)
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statsforecastby Nixtla
Lightning ⚡️ fast forecasting with statistical and econometric models.
Python 2639Updated: 1 y ago License: Permissive (Apache-2.0)
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alibi-detectby SeldonIO
Algorithms for outlier, adversarial and drift detection
Python 1837Updated: 1 y ago License: Permissive (Apache-2.0)
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NABby numenta
The Numenta Anomaly Benchmark
Jupyter Notebook 1723Updated: 2 y ago License: Strong Copyleft (AGPL-3.0)
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stocksightby shirosaidev
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Python 1714Updated: 1 y ago License: Permissive (Apache-2.0)
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orbitby uber
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Python 1657Updated: 1 y ago License: Proprietary (Proprietary)
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swapby florianv
:currency_exchange: Currency exchange rates library
PHP 1269Updated: 2 y ago License: Permissive (MIT)
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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
Jupyter Notebook 1136Updated: 1 y ago License: Permissive (MIT)
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luminolby linkedin
Anomaly Detection and Correlation library
Python 1095Updated: 2 y ago License: Permissive (Apache-2.0)
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finBERTby ProsusAI
Financial Sentiment Analysis with BERT
Jupyter Notebook 1052Updated: 1 y ago License: Permissive (Apache-2.0)
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pytorch-tsby zalandoresearch
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
Python 994Updated: 1 y ago License: Permissive (MIT)
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react-weatherby stage88
A simple weather app built with React Native and Realm
JavaScript 902Updated: 1 y ago License: Permissive (MIT)
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pygodby pygod-team
A Python Library for Graph Outlier Detection (Anomaly Detection)
Python 893Updated: 1 y ago License: Permissive (BSD-2-Clause)
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datastream.ioby MentatInnovations
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Python 836Updated: 3 y ago License: Permissive (Apache-2.0)
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elkiby elki-project
ELKI Data Mining Toolkit
Java 730Updated: 2 y ago License: Strong Copyleft (AGPL-3.0)
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PyABSAby yangheng95
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
Jupyter Notebook 688Updated: 1 y ago License: Permissive (MIT)
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luminaireby zillow
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Python 674Updated: 2 y ago License: Permissive (Apache-2.0)
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M4-methodsby Mcompetitions
Data, Benchmarks, and methods submitted to the M4 forecasting competition
R 650Updated: 1 y ago License: No License (No License)
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SentimentAnalysisby Edward1Chou
文本情感分析
Jupyter Notebook 640Updated: 2 y ago License: No License (No License)
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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
Python 636Updated: 1 y ago License: Permissive (Apache-2.0)
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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.
C++ 611Updated: 3 y ago License: Permissive (Apache-2.0)
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do-mpcby do-mpc
Model predictive control python toolbox
Python 589Updated: 2 y ago License: Weak Copyleft (LGPL-3.0)
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Deep-SVDD-PyTorchby lukasruff
A PyTorch implementation of the Deep SVDD anomaly detection method
Python 588Updated: 1 y ago License: Permissive (MIT)
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DGFraudby safe-graph
A Deep Graph-based Toolbox for Fraud Detection
Python 559Updated: 2 y ago License: Permissive (Apache-2.0)
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timetkby business-science
Time series analysis in the `tidyverse`
R 557Updated: 2 y ago License: No License (No License)
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Time-Series-Analysis-Tutorialby datamonday
时间序列分析教程
Jupyter Notebook 529Updated: 1 y ago License: Permissive (Apache-2.0)
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sunny-side-upby Lab41
Sentiment Analysis Challenge
Jupyter Notebook 528Updated: 3 y ago License: Proprietary (Proprietary)
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Time-Series-ARIMA-XGBOOST-RNNby Jenniferz28
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
Python 516Updated: 2 y ago License: No License (No License)
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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 509Updated: 3 y ago License: No License (No License)
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time-series-forecasting-with-pythonby jiwidi
A use-case focused tutorial for time series forecasting with python
Jupyter Notebook 505Updated: 1 y ago License: No License (No License)
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fableby tidyverts
Tidy time series forecasting
R 498Updated: 2 y ago 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".
Python 493Updated: 2 y ago License: Permissive (MIT)
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sentimentalby 7compass
Simple sentiment analysis with Ruby
Ruby 449Updated: 2 y ago License: Permissive (MIT)
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rrcfby kLabUM
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
Python 441Updated: 1 y ago License: Permissive (MIT)
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Surusby Netflix
Java 440Updated: 3 y ago License: Permissive (Apache-2.0)
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Curveby baidu
An Integrated Experimental Platform for time series data anomaly detection.
JavaScript 440Updated: 3 y ago License: Permissive (Apache-2.0)
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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 439Updated: 1 y ago License: Permissive (MIT)
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Contrastive-Predictive-Coding-PyTorchby jefflai108
Contrastive Predictive Coding for Automatic Speaker Verification
Python 424Updated: 1 y ago License: Permissive (MIT)
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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
Python 411Updated: 1 y ago License: Permissive (MIT)
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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.
Python 387Updated: 1 y ago License: Permissive (MIT)
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Recipes-for-Mining-Twitterby ptwobrussell
Adaptations and Extensions of Twitter-Related Examples from Mining the Social Web
JavaScript 382Updated: 1 y ago License: No License (No License)
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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 378Updated: 1 y ago License: No License (No License)
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c-swmby tkipf
Contrastive Learning of Structured World Models
Python 376Updated: 2 y ago License: Permissive (MIT)
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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_
Python 350Updated: 1 y ago License: Permissive (MIT)
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