tiny-cnn
header only, dependency-free deep learning framework in C++14 (by tiny-dnn)
BayesOpt
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits. (by rmcantin)
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| tiny-cnn | BayesOpt | |
|---|---|---|
| 1 | 1 | |
| 5,763 | 379 | |
| 0.4% | - | |
| 0.0 | 1.1 | |
| about 2 years ago | about 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.
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.
tiny-cnn
Posts with mentions or reviews of tiny-cnn.
We have used some of these posts to build our list of alternatives
and similar projects.
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 tiny-cnn and BayesOpt you can also consider the following projects:
tensorflow - An Open Source Machine Learning Framework for Everyone
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Genann - simple neural network library in ANSI C
Recast/Detour - Industry-standard navigation-mesh toolset for games
Veles - Distributed machine learning platform
AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
btsk - Behavior Tree Starter Kit