Anomaly detection tutoAnomaly detection tutorial on univariate time series with an auto-encoder
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Data science blogsA repository to keep track of all the code that I end up writing for my blog posts.
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PycaretAn open-source, low-code machine learning library in Python
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TsaiTime series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai
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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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TsmoothieA python library for time-series smoothing and outlier detection in a vectorized way.
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DeeptimeDeep learning meets molecular dynamics.
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Auto tsAutomatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
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SdvSynthetic Data Generation for tabular, relational and time series data.
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Motion SenseMotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)
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Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
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ChoochooTraining Diary
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TsfreshAutomatic extraction of relevant features from time series:
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Ml sagemaker studiesCase studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
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BtctradingTime Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
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DmmDeep Markov Models
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StldecomposeA Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
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DeltapyDeltaPy - Tabular Data Augmentation (by @firmai)
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H1stThe AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.
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Fecon235Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
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TimesynthA Multipurpose Library for Synthetic Time Series Generation in Python
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Mckinsey Smartcities Traffic PredictionAdventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
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AsapASAP: Prioritizing Attention via Time Series Smoothing
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Scipy con 2019Tutorial Sessions for SciPy Con 2019
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ForecastingTime Series Forecasting Best Practices & Examples
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Data ScienceCollection of useful data science topics along with code and articles
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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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StingrayAnything can happen in the next half hour (including spectral timing made easy)!
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Pycon Ua 2018Talk at PyCon UA 2018 (Kharkov, Ukraine)
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VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
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Awesome Ai Ml DlAwesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
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Fractional differencing gpuRapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.
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EegclassificationmcnnSolution for EEG Classification via Multiscale Convolutional Net coded for NeuroHack at Yandex.
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MultilaterationMultilateration in 2D: IoT/LoRaWAN Mass Surveillance
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Juypter Notebooksneural network explorations ⚡️ i know it's misspelled
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Sdc Vehicle Lane DetectionI am using an ensemble of classic computer vision and modern deep learning techniques, to detect the lane lines and the vehicles on a highway. This project was part of the Udacity SDC Nanodegree.
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Meta Prod2vecRepository for experiments with MetaProd2Vec and related algorithms.
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VariantnetA simple neural network for calling het-/hom-variants from alignments of single molecule reads to a reference
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Sdc System IntegrationSelf Driving Car Engineer Nanodegree System Integration Capstone Project
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LigdreamNovel molecules from a reference shape!
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Marvin Public EnginesMarvin AI has been accepted into the Apache Foundation and is now available at https://github.com/apache/incubator-marvin
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Ce9010 2018Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18
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Effective PandasSource code for my collection of articles on using pandas.
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Pytorch connectomicsPyTorch Connectomics: segmentation toolbox for EM connectomics
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Tacotron2pytorch tacotron2 https://arxiv.org/pdf/1712.05884.pdf
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Play With Machine Learning AlgorithmsCode of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
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Tensorflow Crash CourseFor those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.
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