Native System Automation
CNTK
| Native System Automation | CNTK | |
|---|---|---|
| 1 | 1 | |
| 208 | 17,435 | |
| 0.0% | 0.0% | |
| 0.0 | 0.0 | |
| over 1 year ago | about 1 year ago | |
| C++ | C++ | |
| zlib License | GNU General Public License v3.0 or later |
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
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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.
CNTK
What are some alternatives?
Tulip Cell - TulipCell is an Excel add-in providing 100+ technical analysis indicators.
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
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
tensorflow - An Open Source Machine Learning Framework for Everyone
AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
nano
Caffe - Caffe: a fast open framework for deep learning.
BayesOpt - BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
Keras - Deep Learning for humans
tiny-cnn - header only, dependency-free deep learning framework in C++14
scikit-learn - scikit-learn: machine learning in Python