xplainable
Real-time explainable machine learning for business optimisation (by xplainable)
MLBox
MLBox is a powerful Automated Machine Learning python library. (by AxeldeRomblay)
| xplainable | MLBox | |
|---|---|---|
| 2 | 1 | |
| 52 | 1,477 | |
| - | - | |
| 9.0 | 0.0 | |
| 14 days ago | 9 months ago | |
| Python | Python | |
| GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
xplainable
Posts with mentions or reviews of xplainable.
We have used some of these posts to build our list of alternatives
and similar projects.
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Explainable (Structured) Machine Learning Algorithm
Just for some respite from the discussion of our soon-to-be AI overlords (LLMs), I'm one of the contributors to an open-source Python package, Xplainable (https://github.com/xplainable/xplainable). Xplainable is a novel (structured) machine learning algorithm that's inherently explainable, as opposed to being a post-hoc explainer (like SHAP or Lime).
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Tools for documenting OS Python Package
I'm looking at migrating the docs for our open-source Python package https://github.com/xplainable/xplainable from sphinx to something else. I was initially looking at either docosaurus or Mintlify. Mintlify looks substantially easier to setup but I'm questioning the extensibility (also the cost).
MLBox
Posts with mentions or reviews of MLBox.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing xplainable and MLBox you can also consider the following projects:
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
AlphaPy - Python AutoML for Trading Systems and Sports Betting
nylon - An intelligent, flexible grammar of machine learning.
draf - Demand Response Analysis Framework (DRAF)
gmr - Gaussian Mixture Regression
ML.NET-Auto-ML-ESRB-Rating-Classification - Classifying Game ESRB Ratings using ML.NET Auto ML
deep-kernel-transfer - Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Genome - Genome Network Ala Neural Network