sktime-dl
fold
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 |
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sktime-dl
fold
- Show HN: Fast Adaptive ML for Time-Series Forecasting
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We ended up building a Time-Series Cross-Validation library from scratch
This is the launch of our core engine so we would love to get some feedback on Fold (https://github.com/dream-faster/fold)! We’ll be here and happy to answer any questions.
What are some alternatives?
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)