fold
sktime-dl
fold | sktime-dl | |
---|---|---|
2 | 1 | |
87 | 599 | |
- | 0.2% | |
8.9 | 5.3 | |
2 months ago | 3 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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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.
sktime-dl
What are some alternatives?
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 analysis tasks of imputation, classification, clustering, forecasting & anomaly detection on incomplete (irregularly-sampled) multivariate TS with NaN missing values
InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification
darts - A python library for user-friendly forecasting and anomaly detection on time series.
tslearn - The machine learning toolkit for time series analysis in Python
neural_prophet - NeuralProphet: A simple forecasting package
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
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)