tsflex
MultiModalStory-demo
tsflex | MultiModalStory-demo | |
---|---|---|
3 | 3 | |
361 | 179 | |
1.4% | - | |
6.3 | 3.9 | |
8 days ago | 4 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
tsflex
-
[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).
-
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.
MultiModalStory-demo
-
Kurt Vonnegut on the 8 βshapesβ 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
What are some alternatives?
tsfresh - Automatic extraction of relevant features from time series:
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
sspipe - Simple Smart Pipe: python productivity-tool for rapid data manipulation
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
temporian - Temporian is an open-source Python library for preprocessing β‘ and feature engineering π temporal data π for machine learning applications π€
uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
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
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
orange - π :bar_chart: :bulb: Orange: Interactive data analysis