|3 months ago||11 months ago|
|Jupyter Notebook||Jupyter Notebook|
|MIT License||GNU General Public License v3.0 or later|
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RI 51515 Question on concurrent movement?
I thought the same. However, there is actually a way, although it is a bit more hidden and it isn't defined in the official documentation. In short, you can access that functionality not through MSHub, but through hub. Take a look at the example mshub_vs_hub, where I explain it in more detail. (If that link doesn't work, try this one then).
Natively, I'm afraid no, there is no way. I've managed to get a setup working using Spyder/Jupyter, but that's mostly for generating notebooks that are easy to read and that can provide an explanation of what's going on in a nice format. There's still some copy/paste going on to get the actual code into the robot through the LEGO Mindstorms app.
Using co-routines, as proposed by David Lechner (actual code here). I tried this approach in Charlie's drum_solo activity and it works quite well.
We haven't tracked posts mentioning TensorFlow-Examples yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
spike-prime - Experiments with the LEGO Mindstorms (51515) and SPIKE Prime (45678)
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
fastai - The fastai deep learning library
graphkit-learn - A python package for graph kernels, graph edit distances, and graph pre-image problem.
pyVHR - Python framework for Virtual Heart Rate
PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
Deep-Learning-With-TensorFlow-Blog-series - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow]
rmi - A learned index structure
Deep-Learning-Hardware-Benchmark - This repository contains the proposed implementation for benchmarking in order to evaluate whether a setup of hardware is feasible for deep learning projects.
TF_JAX_tutorials - All about the fundamental blocks of TF and JAX!