pymata4
Keras
pymata4 | Keras | |
---|---|---|
2 | 78 | |
68 | 60,937 | |
- | 0.3% | |
3.8 | 9.9 | |
almost 2 years ago | 7 days ago | |
Python | Python | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
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.
pymata4
- Using python to control stepper motor on Arduino
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RADU: Motor Controller Software for Arduino and Raspberry Pico
The Firmata Protocol provides an abstraction layer for communicating with a microcontroller to read and write its GPIO pins. Currently, it works with Arduino based microcontroller. To use this, you need to install the Firmata firmware on your microcontroller, and then use the client library for sending Firmata commands. The protocol support different client libraries, like Python Pymata4 or other languages like JavaScript and Ruby. There are no ROS abstractions, which means inside the client you would need to write custom code for processing and generating ROS messages.
Keras
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Library for Machine learning and quantum computing
Keras
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My Favorite DevTools to Build AI/ML Applications!
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development.
- Release: Keras 3.3.0
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Getting Started with Gemma Models
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow.
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Keras 3.0
All breaking changes are listed here: https://github.com/keras-team/keras/issues/18467
You can use this migration guide to identify and fix each of these issues (and further, making your code run on JAX or PyTorch): https://keras.io/guides/migrating_to_keras_3/
- Keras 3: A new multi-back end Keras
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Can someone explain how keras code gets into the Tensorflow package?
I'm guessing the "real" keras code is coming from the keras repository. Is that a correct assumption? How does that version of Keras get there? If I wanted to write my own activation layer next to ELU, where exactly would I do that?
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How popular are libraries in each technology
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks.
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List of AI-Models
Click to Learn more...
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Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them.
What are some alternatives?
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
Micro-XRCE-DDS - An XRCE DDS implementation. Looking for commercial support? Contact [email protected]
scikit-learn - scikit-learn: machine learning in Python
u2if - USB to interfaces implementing MicroPython "machine" module functionalities on a computer.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
rosserial - A ROS client library for small, embedded devices, such as Arduino. See: http://wiki.ros.org/rosserial
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
ros2arduino - This library helps the Arduino board communicate with the ROS2 using XRCE-DDS.
tensorflow - An Open Source Machine Learning Framework for Everyone
micro_ros_arduino - micro-ROS library for Arduino
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.