upgini
best-of-ml-python
| upgini | best-of-ml-python | |
|---|---|---|
| 16 | 16 | |
| 290 | 15,364 | |
| 2.4% | 0.9% | |
| 9.1 | 7.8 | |
| 4 days ago | 3 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Creative Commons Attribution Share Alike 4.0 |
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.
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
best-of-ml-python
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Ask HN: How to get back into AI?
For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...
- Best-Of Machine Learning with Python
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Questions regarding Job Requirements for data analyst to data science transition?
You will need numpy, scipy, pandas, scikit-learn, Keras/tensorflow/pytorch, xgboost and many many many others. See this list for example.
- Awesome list of ML
- Are there any speech recognition modules so I can write one and do not have to rely on google and the likes?
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Learning opencv
Take a look at this list on github. It has a pretty comprehensive list of python image libraries.
- Best-of Machine Learning with Python
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
What are some alternatives?
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.
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
featuretools - An open source python library for automated feature engineering
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
powershap - A power-full Shapley feature selection method.
dtale - Visualizer for pandas data structures
LeanDojoChatGPT - ChatGPT plugin for theorem proving in Lean
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
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
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
atariemailarchive-data - A structured dataset of emails sent at Atari from 1983 to 1992.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data