okamaInvestment portfolio and stocks analyzing tools for Python with free historical data
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HistoricalVolatilityA framework for historical volatility estimation and analysis.
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TidyquantBringing financial analysis to the tidyverse
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rbcbR interface to Brazilian Central Bank web services
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SystemicriskA framework for systemic risk valuation and analysis.
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cantorData abstraction, storage, discovery, and serving system
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Start majaTo process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor
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tempoAPI for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
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autoplaitPython implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.
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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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CausalityTools.jlAlgorithms for causal inference and the detection of dynamical coupling from time series, and for approximation of the transfer operator and invariant measures.
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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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fastverseAn Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
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state-spacesSequence Modeling with Structured State Spaces
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IMCtermiteEnables extraction of measurement data from binary files with extension 'raw' used by proprietary software imcFAMOS/imcSTUDIO and facilitates its storage in open source file formats
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ECGClassifierCNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)
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xephon-kA time series database prototype with multiple backends
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StockerBotTwitter Bot to follow financial trends in publicly traded companies
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wax-mlA Python library for machine-learning and feedback loops on streaming data
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forecasting modelsAn overview of univariate time series forecasting models with sample code.
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gold-price-analysisCreating a model to analyze and predict the trend of the prices of gold.
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aheadUnivariate and multivariate time series forecasting
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P4JPeriodic time series analysis tools based on information theory
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pybacenThis library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)
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sugrrantsSUpporting GRaphics with R for ANalysing Time Series
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cubism-esES6 module of cubism.js, based on d3v5.
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missComparemissCompare R package - intuitive missing data imputation framework
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Stock-Selection-a-FrameworkThis project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.
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midasmlmidasml package is dedicated to run predictive high-dimensional mixed data sampling models
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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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sysidentpyA Python Package For System Identification Using NARMAX Models
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timely-beliefsModel data as beliefs (at a certain time) about events (at a certain time).
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pmtsPoor man's time series functionality for PostgreSQL
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tsmpR Functions implementing UCR Matrix Profile Algorithm
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tsfusePython package for automatically constructing features from multiple time series
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dados-financeirosRepositório de Fontes de Dados Financeiros do Brasil
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alpha-vantage-cookbookJavaScript examples to help you with accessing market data from https://www.alphavantage.co/
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talariaTalariaDB is a distributed, highly available, and low latency time-series database for Presto
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DeepEchoSynthetic Data Generation for mixed-type, multivariate time series.
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akshareAKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
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modeltime.resampleResampling Tools for Time Series Forecasting with Modeltime
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pompR package for statistical inference using partially observed Markov processes
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ww tvol studyProcess global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).
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time-series-labsHands-on training labs for Deep Learning in Time Series course by CERTIFAI
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cnosdbAn Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.
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wetterdienstOpen weather data for humans
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mlforecastScalable machine 🤖 learning for time series forecasting.
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DTWDynamic Time Warping in Python / C (using ctypes)
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readabsDownload and tidy time series data from the Australian Bureau of Statistics in R
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downsampleCollection of several downsampling methods for time series visualisation purposes.
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cnn-rnn-bitcoinReusable CNN and RNN model doing time series binary classification
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