GPBoost VS EvalAI

Compare GPBoost vs EvalAI and see what are their differences.

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GPBoost EvalAI
3 4
509 1,683
- 1.2%
9.4 8.9
3 days ago 7 days ago
C++ Python
GNU General Public License v3.0 or later 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.

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.

EvalAI

Posts with mentions or reviews of EvalAI. 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 EvalAI 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.

StratosphereLinuxIPS - Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

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

evaluate - 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

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

Lars-Ulrich-Challenge - Algorithmic and AI MIDI Drums Generator Implementation

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

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

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

pycm - Multi-class confusion matrix library in Python

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

django-ai - Artificial Intelligence for Django