tsfel
upgini
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| tsfel | upgini | |
|---|---|---|
| 1 | 16 | |
| 855 | 290 | |
| 6.2% | 4.1% | |
| 7.9 | 9.1 | |
| 25 days ago | 3 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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.
tsfel
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Ask HN: Data Scientists, what libraries do you use for timeseries forecasting?
For feature extraction check out tsfel:
https://github.com/fraunhoferportugal/tsfel
upgini
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The fastest way to improve quality of ML model on tabular data
web: https://upgini.com
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How to enrich ML models with open data for free: an in-depth review of 5 python libraries
The code is on GitHub.
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How I complete my email addresses lists with demographic insights with Python
Now let’s launch the search for gender-correlated features. For this operation, I will need a free API token that I get after sign up on upgini.com. The API token is free and using to search features by personal keys such as email, phone number, and IP address.
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[OC] Divorced relationship status share of users at Facebook
Source: Upgini database Made with MapChart
- GitHub - searching open and public data through autoML. Please give a Star on GitHub
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[P] Upgini 1.0 is released (a Python library for data search through autoML )
Full release notes: https://github.com/upgini/upgini
- Need your help with GitHub
- Upgini.com: Public data search engine for ML that helps DS to reach best accuracy with external features
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Python library for free data search & enrichment
GitHub
What are some alternatives?
tsfresh - Automatic extraction of relevant features from time series:
NitroFE - NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
featuretools - An open source python library for automated feature engineering
forecast - Forecasting Functions for Time Series and Linear Models
powershap - A power-full Shapley feature selection method.
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
LeanDojoChatGPT - ChatGPT plugin for theorem proving in Lean
fibs-reporter - Automatically generate a pdf report containing feature importance, baseline modelling, spurious correlation detection, and more, from a single command line input for any given ML CSV file
atariemailarchive-data - A structured dataset of emails sent at Atari from 1983 to 1992.
FeatureHub - The most comprehensive library of AI/ML features across multiple domains. Our goal is to create a dataset that serves as a valuable resource for researchers and data scientists worldwide
DescribeML - DescribeML is a Visual Studio Code language plug-in to describe machine-learning datasets in a structured format. Build better data describing the composition, provenance and social concerns of your dataset.