GPBoost VS iNeural

Compare GPBoost vs iNeural and see what are their differences.

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
Source Code
Suggest alternative
Edit details

iNeural

A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms. (by fkkarakurt)
Machine Learning Library Artificial intelligence Deep Learning neural-network Python CPP C Network Algorithms neural-networks artificial-neural-networks
Source Code
fkkarakurt.github.io
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
GPBoost iNeural
3 4
509 5
- -
9.4 0.0
3 days ago over 1 year ago
C++ C++
GNU General Public License v3.0 or later GNU Affero General Public License v3.0
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.

iNeural

Posts with mentions or reviews of iNeural. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-24.

What are some alternatives?

When comparing GPBoost and iNeural 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.

fann - Official github repository for Fast Artificial Neural Network Library (FANN)

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

command - Command, ::process::Command like syscalls in C++.

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

Seayon - Open source Neural Network library in C++

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

Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.

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

armnn - Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn

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

GPBoost vs LightGBM iNeural vs fann GPBoost vs EvalAI iNeural vs command GPBoost vs opentrees iNeural vs Seayon GPBoost vs frugally-deep iNeural vs Nerve GPBoost vs Data-science-best-resources iNeural vs armnn GPBoost vs Cupcake iNeural vs frugally-deep