BayesOpt VS CNTK

Compare BayesOpt vs CNTK and see what are their differences.

BayesOpt

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits. (by rmcantin)
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BayesOpt CNTK
1 1
379 17,435
- 0.0%
1.1 0.0
about 1 year ago about 1 year ago
C++ C++
GNU Affero General Public License v3.0 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.

BayesOpt

Posts with mentions or reviews of BayesOpt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-06.
  • The Evolutionary Computation Methods No One Should Use
    3 projects | /r/optimization | 6 Jan 2023
    Very interesting to see how wide spread this is. Stumbled upon it myself by accident when comparing my algorithm to a popular Bayesian optimisation algorithm (https://github.com/rmcantin/bayesopt). Almost every run it would sample the exact centre of the optimisation space. At first I was blown away by the performance until I found it suspicious that the precise optimum was found so often. Shifting the optimum away from the centre greatly reduced the algorithms performance.

CNTK

Posts with mentions or reviews of CNTK. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-20.

What are some alternatives?

When comparing BayesOpt and CNTK you can also consider the following projects:

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

tensorflow - An Open Source Machine Learning Framework for Everyone

Recast/Detour - Industry-standard navigation-mesh toolset for games

AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings

Caffe - Caffe: a fast open framework for deep learning.

tiny-cnn - header only, dependency-free deep learning framework in C++14

Keras - Deep Learning for humans

btsk - Behavior Tree Starter Kit

scikit-learn - scikit-learn: machine learning in Python