SSSD
sktime-dl
SSSD | sktime-dl | |
---|---|---|
3 | 1 | |
248 | 595 | |
6.0% | -0.2% | |
5.0 | 5.3 | |
3 months ago | 4 months ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SSSD
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Github repo review
Code for https://arxiv.org/abs/2208.09399 found: https://github.com/AI4HealthUOL/SSSD
This init file can be removed if you are not planning to call anything from src.
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Forecasting resources and repo advice
My new paper is out: https://arxiv.org/pdf/2208.09399.pdf, 'Diffusion-base time series and forecasting with state space models', have a look, and our new model forecasting skills might be useful. I'm actually looking for a review of my repo: https://github.com/AI4HealthUOL/SSSD.
sktime-dl
What are some alternatives?
InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification
tslearn - The machine learning toolkit for time series analysis in Python
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
darts - A python library for user-friendly forecasting and anomaly detection on time series.
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)
Crossformer - Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
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.