Based on our record, TensorFlow should be more popular than OpenSim. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The most famous and complete free sim for actual natural body parts is https://simtk.org/projects/opensim. Source: over 2 years ago
Hi, I take it you're meaning opensim which models musculoskeletal structures and creates dynamic simulations of movement rather than opensimulator. Source: over 2 years ago
My research specialty is biomechanics. For the arm motion thing, it sounds like you might want inverse kinematics or inverse dynamics. Take a look at OpenSim: https://simtk.org/projects/opensim For the oral appliance adjustment, I'm not sure what your output measures of interest are. If they're mechanical maybe you want to do a sensitivity analysis using FEA. Maybe look at FEBio: https://febio.org/ As for... - Source: Hacker News / almost 3 years ago
The first link you shared doesn’t take me to the same spot I downloaded the models from. This link: https://simtk.org/projects/opensim should take you to the home site. Click “download latest releases” drop down and select “models and examples”. This is how I got them, should be in a zip file under “modules”. Hope this helps! Also I have struggled with a lot of different issues using Opensim for gait Lab marker... Source: almost 3 years ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Scilab - Scilab Official Website. Enter your search in the box aboveAbout ScilabScilab is free and open source software for numerical . Thanks for downloading Scilab!
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.