AutoViz
Rating-Correlations
Our great sponsors
| AutoViz | Rating-Correlations | |
|---|---|---|
| 2 | 3 | |
| 1,621 | 1 | |
| - | - | |
| 7.7 | 3.3 | |
| 28 days ago | 12 months ago | |
| Python | Python | |
| Apache License 2.0 | 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.
AutoViz
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I need help lol
AutoViz: A Python library that automatically visualizes any dataset in just one line of code.
- AutoViz: Automatically visualize any dataset, any size with one line of code
Rating-Correlations
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Contribute to chessprogramming.org
maybe ask ferdy from chess stackexchange aka fsmosca from github aka Ferdinand Mosca who has a chessprogramming.org page here?
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the lichess rating correlation web app is done! (ratingcorrelations.herokuapp.com) unlike chessratingcomparison.com, it allows multiple inputs and has outputs for chess960 and crazyhouse!
shared on github! https://github.com/fsmosca/Rating-Correlations/issues/3
This appears to have been created by a github user named fsmosca aka Philippine mechanical engineer Ferdinand Mosca. See here for rating correlations.
What are some alternatives?
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
alpha-zero-boosted - A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
autokeras - AutoML library for deep learning
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Auto_ViML - Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
hyper-api-samples - Sample code to get started with the Hyper API.
mlforecast - Scalable machine 🤖 learning for time series forecasting.
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
sapientml - Generative AutoML for Tabular Data