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adis98 avatar

adis98/WaveStitch

0
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6 stars·2 forks·Python·MIT·5 viewsarxiv.org/abs/2503.06231↗

WaveStitch

WaveStitch is a deep generative framework for conditional time series synthesis. It enables the generation of realistic time series data conditioned on auxiliary features (e.g., labels, metadata) and signal anchors (e.g., partial observations). This codebase provides tools for experimentation…

Features

  • Data Processing - Generates conditional time series using diffusion models.

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Frequently asked questions

What does adis98/wavestitch do?

WaveStitch is a deep generative framework for conditional time series synthesis. It enables the generation of realistic time series data conditioned on auxiliary features (e.g., labels, metadata) and signal anchors (e.g., partial observations). This codebase provides tools for experimentation…

What are the main features of adis98/wavestitch?

The main features of adis98/wavestitch are: Data Processing.

What are some open-source alternatives to adis98/wavestitch?

Open-source alternatives to adis98/wavestitch include: aimukhin/minfft — A minimalistic Fast Fourier Transform library. allenai/olmocr — Olmocr is a distributed document processing framework designed to convert PDF and image files into structured… ankurchavda/sparklearning — A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an… antirez/smaz — Small strings compression library. antonmedv/fx — Fx is a command-line processing suite designed for the transformation, conversion, exploration, and visualization of… 599yongyang/datasetloom.

Open-source alternatives to WaveStitch

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