sktime-dl VS fold

Compare sktime-dl vs fold and see what are their differences.

sktime-dl

DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow (by sktime)
Deep Learning time-series Machine Learning scikit-learn panel-data longitudinal-data neural-networks time-series-classification time-series-regression time-series-forecasting
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fold

🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API. (by dream-faster)
financial-machine-learning nowcasting time-series time-series-classification time-series-forecasting Machine Learning Deep Learning Python Forecasting Backtesting time-series-cross-validation Adaptive online-machine-learning online-ml
Source Code
dream-faster.github.io
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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.
www.influxdata.com
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sktime-dl fold
1 2
599 87
0.2% -
5.3 8.9
3 months ago 2 months ago
Python Python
BSD 3-clause "New" or "Revised" License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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sktime-dl

Posts with mentions or reviews of sktime-dl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-24.

fold

Posts with mentions or reviews of fold. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing sktime-dl and fold you can also consider the following projects:

InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification

PyPOTS - A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science tasks of imputation, classification, clustering, forecasting & anomaly detection on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data

tslearn - The machine learning toolkit for time series analysis in Python

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

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

neural_prophet - NeuralProphet: A simple forecasting package

gluonts - Probabilistic time series modeling in Python

sktime - A unified framework for machine learning with time series

NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

hydra - HYDRA: Competing convolutional kernels for fast and accurate time series classification

tidle-brain - TiDLE time-series forecasting in Tensorflow (Google. paper 2023)

sktime-dl vs InceptionTime fold vs PyPOTS sktime-dl vs tslearn fold vs darts sktime-dl vs tsai fold vs neural_prophet sktime-dl vs darts fold vs gluonts sktime-dl vs sktime sktime-dl vs NeuralCDE sktime-dl vs hydra sktime-dl vs tidle-brain