MultiModalStory-demo
tsflex
| MultiModalStory-demo | tsflex | |
|---|---|---|
| 3 | 3 | |
| 179 | 369 | |
| - | 3.5% | |
| 3.9 | 6.5 | |
| 5 months ago | 6 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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MultiModalStory-demo
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Kurt Vonnegut on the 8 “shapes” of stories
I saw this on github - a model that is trained to tell stories. I think Vonnegut would have liked this...
https://github.com/EdenBD/MultiModalStory-demo
- FairyTailor: A Multimodal Generative Framework for Storytelling
tsflex
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[P] tsflex: flexible and efficient feature extraction for time series
tsflex its core functionality is strided-window feature extraction. This toolkit focusses on being flexible (e.g., few assumptions about sequence data, integration with other packages) and efficient (in both time & memory consumption -> see benchmark).
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Request - a good book for anomaly detection on time series
If you plan to transform your time series data in feature vectors, I would suggest to use tsflex (a rather new package) instead of TSfresh. tsflex is imo more convenient to use & multitudes more efficient for window-stride feature extraction.
What are some alternatives?
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
tsfresh - Automatic extraction of relevant features from time series:
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
sspipe - Simple Smart Pipe: python productivity-tool for rapid data manipulation
uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
temporian - Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
prosto - Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
tsfel - An intuitive library to extract features from time series.