GPBoost VS Data-science-best-resources

Compare GPBoost vs Data-science-best-resources 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
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Data-science-best-resources

Carefully curated resource links for data science in one place (by tirthajyoti)
Data Science Statistics Machine Learning Deep Learning neural-network Python scikit-learn Analytics AWS data-wrangling Visualization Artificial intelligence R SQL Database API reinforcement-learning online-course Cheatsheet Linux
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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
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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GPBoost Data-science-best-resources
3 2
509 2,762
- -
9.4 0.0
3 days ago 4 months ago
C++
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.

Data-science-best-resources

Posts with mentions or reviews of Data-science-best-resources. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-13.

What are some alternatives?

When comparing GPBoost and Data-science-best-resources 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.

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

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

100-Days-Of-ML-Code - 100 Days of ML Coding

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

cheat-sheet-pdf - 📜 A Cheat-Sheet Collection from the WWW

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

free-data-science-books - Free resources for learning data science

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

IntRo - Introduction to R for health data

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

looper - A resource list for causality in statistics, data science and physics

GPBoost vs LightGBM Data-science-best-resources vs manjaro-linux GPBoost vs EvalAI Data-science-best-resources vs 100-Days-Of-ML-Code GPBoost vs opentrees Data-science-best-resources vs cheat-sheet-pdf GPBoost vs iNeural Data-science-best-resources vs free-data-science-books GPBoost vs frugally-deep Data-science-best-resources vs IntRo GPBoost vs Cupcake Data-science-best-resources vs looper