Covid19JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily
Fecon236Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.
AnticipyA Python library for time series forecasting
AtsdAxibase Time Series Database Documentation
WdkThe Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals
ColorednoisePython package to generate Gaussian (1/f)**beta noise (e.g. pink noise)
KryptoflowReal-time analysis of bitcoin markets with Kafka and Tensorflow Serving
Neural prophetNeuralProphet - A simple forecasting model based on Neural Networks in PyTorch
WhisperWhisper is a file-based time-series database format for Graphite.
Pysgs📈 Python interface for the Brazilian Central Bank's Time Series Management System (SGS)
New Empty Python Project BaseThe Perfect Python Project Template. Bored of coding anew the same thing for your new Python projects? Here is what you need. Click below on the "use this template" green button to start using it instantly. Rename the "project" folder and all references to this folder to customize your project name.
Tsanalysis.jlThis package includes basic tools for time series analysis, compatible with incomplete data.
Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
GratisGRATIS: GeneRAting TIme Series with diverse and controllable characteristics
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
NsdbNatural Series Database
Wavelet networksCode repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259
TraildbTrailDB is an efficient tool for storing and querying series of events
MathematicavsrExample projects, code, and documents for comparing Mathematica with R.
EgadsA Java package to automatically detect anomalies in large scale time-series data
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.
YuviYuvi is an in-memory storage engine for recent time series metrics data.
PmdarimaA statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
MycodoAn environmental monitoring and regulation system
TempdisaggMethods for Temporal Disaggregation and Interpolation of Time Series
AgotsAnomaly Generator on Time Series
HeroicThe Heroic Time Series Database
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.
Voidterminal-based personal organizer
Falcon PlusAn open-source and enterprise-level monitoring system.
Informer2020The GitHub repository for the paper "Informer" accepted by AAAI 2021.
BtgymScalable, event-driven, deep-learning-friendly backtesting library
DartsA python library for easy manipulation and forecasting of time series.
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.
Uplot📈 A small, fast chart for time series, lines, areas, ohlc & bars
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
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.
ArchARCH models in Python
TsfreshAutomatic extraction of relevant features from time series:
Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
TidyquantBringing financial analysis to the tidyverse
DcrnnImplementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
Matrixprofile TsA Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
AdtkA Python toolkit for rule-based/unsupervised anomaly detection in time series
ElkiELKI Data Mining Toolkit
RwaMachine Learning on Sequential Data Using a Recurrent Weighted Average