nano
By accosmin
BayesOpt
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits. (by rmcantin)
nano | BayesOpt | |
---|---|---|
- | 1 | |
22 | 379 | |
- | - | |
8.4 | 1.1 | |
- | about 1 year ago | |
C++ | C++ | |
- | 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.
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.
nano
Posts with mentions or reviews of nano.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning nano yet.
Tracking mentions began in Dec 2020.
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.
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The Evolutionary Computation Methods No One Should Use
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.
What are some alternatives?
When comparing nano and BayesOpt you can also consider the following projects:
btsk - Behavior Tree Starter Kit
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings
tensorflow - An Open Source Machine Learning Framework for Everyone
tiny-cnn - header only, dependency-free deep learning framework in C++14
Recast/Detour - Industry-standard navigation-mesh toolset for games
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
Native System Automation - Native cross-platform system automation
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit