sktime-dl
tidle-brain
| sktime-dl | tidle-brain | |
|---|---|---|
| 1 | 1 | |
| 599 | 2 | |
| 0.2% | - | |
| 5.3 | 10.0 | |
| 3 months ago | about 1 year ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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sktime-dl
tidle-brain
-
Implementing TiDLR: A State-of-the-Art Time-Series Model
You can find the code for the model at my GitHub repository: https://github.com/sleepingcat4/tidle-brain
What are some alternatives?
InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification
LTSF-Linear - [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
tslearn - The machine learning toolkit for time series analysis in Python
Crossformer - Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
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
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
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.