interactive-gp-visualization VS GPBoost

Compare interactive-gp-visualization vs GPBoost and see what are their differences.

interactive-gp-visualization

Interactive visualization of Gaussian processes (by st--)
gaussian-processes Visualisation Demo
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GPBoost

Combining tree-boosting with Gaussian process and mixed effects models (by fabsig)
boosting gaussian-processes mixed-effects Machine Learning Data Science Artificial intelligence CPP Python R
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interactive-gp-visualization GPBoost
1 3
158 509
- -
3.0 9.4
about 1 year ago 6 days ago
Svelte C++
MIT License 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.

interactive-gp-visualization

Posts with mentions or reviews of interactive-gp-visualization. We have used some of these posts to build our list of alternatives and similar projects.

GPBoost

Posts with mentions or reviews of GPBoost. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-25.

What are some alternatives?

When comparing interactive-gp-visualization and GPBoost you can also consider the following projects:

LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

EvalAI - :cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

opentrees - Front end for opentrees.org, a data visualisation of millions of publicly maintained trees around the world.

iNeural - A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms.

frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.

Data-science-best-resources - Carefully curated resource links for data science in one place

Cupcake - A Rust library for lattice-based additive homomorphic encryption.

twinning - Data Twinning

GPBoost vs LightGBM GPBoost vs EvalAI GPBoost vs opentrees GPBoost vs iNeural GPBoost vs frugally-deep GPBoost vs Data-science-best-resources GPBoost vs Cupcake GPBoost vs twinning