gpu-benches
tsdownsample
| gpu-benches | tsdownsample | |
|---|---|---|
| 1 | 7 | |
| 158 | 138 | |
| - | 8.0% | |
| 7.5 | 6.0 | |
| 2 months ago | 2 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | MIT License |
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gpu-benches
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Maxing out the device
The snippet is taken from: https://github.com/te42kyfo/gpu-benches/blob/master/um-stream/main.cu in lines 30-38
tsdownsample
- downsampling 500M datapoints in < 0.05s
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[P] tsdownsample: extremely fast time series downsampling for visualization
P.S.: I recently discovered a bug in the implementation (when there are large gaps in the time series ) -> PR https://github.com/predict-idlab/tsdownsample/pull/20 should fix this
- tsdownsample: Timeseries downsampling with 200-300x better performance vs. NumPy
- tsdownsample: time-series downsampling with 200-300x performance to equivalent numpy routines
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tsdownsample: extremely fast time series downsampling written in Rust
I just created an Issue for this: https://github.com/predict-idlab/tsdownsample/issues/19
What are some alternatives?
rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation
ZenithTA - A high performance python technical analysis library written in Rust and the Numpy C API.
mlscorecheck - Testing the consistency of binary classification performance scores reported in papers
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
downsample - Collection of several downsampling methods for time series visualisation purposes.
Panther - A high performance python technical analysis library written in Rust and the Numpy C API. [Moved to: https://github.com/gregyjames/ZenithTA]
argminmax - Efficient argmin & argmax