GPBoost VS Cupcake

Compare GPBoost vs Cupcake and see what are their differences.

Cupcake

A Rust library for lattice-based additive homomorphic encryption. (by facebookresearch)
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GPBoost Cupcake
3 2
509 400
- 0.3%
9.4 0.0
3 days ago 7 months ago
C++ Rust
GNU General Public License v3.0 or later MIT License
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.

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.

Cupcake

Posts with mentions or reviews of Cupcake. 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 GPBoost and Cupcake 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

twinning - Data Twinning