Native System Automation
Native cross-platform system automation (by Robot)
BayesOpt
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits. (by rmcantin)
| Native System Automation | BayesOpt | |
|---|---|---|
| 1 | 1 | |
| 208 | 379 | |
| 0.0% | - | |
| 0.0 | 1.1 | |
| over 1 year ago | about 1 year ago | |
| C++ | C++ | |
| zlib License | 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.
Native System Automation
Posts with mentions or reviews of Native System Automation.
We have used some of these posts to build our list of alternatives
and similar projects.
-
PyAutoGui library for c++
While you can do that (quick internet search resulted in https://github.com/Robot/robot , not sure if it does everything you want), C++ is not exactly the right tool for that job. Use Autohotkey or keep using Python.
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
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 Native System Automation and BayesOpt you can also consider the following projects:
Tulip Cell - TulipCell is an Excel add-in providing 100+ technical analysis indicators.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
tensorflow - An Open Source Machine Learning Framework for Everyone
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
Recast/Detour - Industry-standard navigation-mesh toolset for games
AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings
nano
tiny-cnn - header only, dependency-free deep learning framework in C++14
Native System Automation vs Tulip Cell
BayesOpt vs Pytorch
Native System Automation vs CNTK
BayesOpt vs tensorflow
Native System Automation vs frugally-deep
BayesOpt vs Recast/Detour
Native System Automation vs AI-Toolbox
BayesOpt vs AI-Toolbox
Native System Automation vs nano
BayesOpt vs tiny-cnn
Native System Automation vs tiny-cnn
BayesOpt vs CNTK