Machine learning with Time series data

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning
time-series Machine Learning forecasting-models Deep Learning Python

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • sktime-dl

    DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

  • darts

    A python library for user-friendly forecasting and anomaly detection on time series.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • tsai

    Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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Related posts

  • Darts: Python lib for forecasting and anomaly detection on time series

    1 project | news.ycombinator.com | 5 Mar 2024

  • [D] Doubts on the implementation of LSTMs for timeseries prediction (like including weather forecasts)

    3 projects | /r/MachineLearning | 10 Dec 2023

  • [D] Hybrid forecasting framework ARIMA-LSTM

    1 project | /r/MachineLearning | 27 May 2023

  • [D] Do any of you have experience using Darts for forecasting?

    1 project | /r/MachineLearning | 9 May 2023

  • gluonts VS darts - a user suggested alternative

    2 projects | 13 Apr 2023