Glances
htop
Zapier
GNOME System Monitor
Boomi
Windows Task Manager
MacUncle
ChartsWatcher
TensorFlow
PyTorch
Scikit-learn
Keras
IBM Watson Studio
OpenCV
Amazon SageMaker
Pega Platform
The single customer view you have always wanted is here. Glances unifies your apps in a simplified, easy-to-use customer view that provides real-time data from within any app that you are using. In minutes, securely connect your apps and eliminate tab switching, searching, and clicking around to find important information.
Do the hustle without the hassle
Finding customer information within multiple programs is the hassle that ruins your workflow hustle. Glances brings your favorite online apps together, securely showing your customer data in a single view from whatever app you are using.
An integration the way it should be
It’s like iPaaS, but without the pain. Not time consuming, expensive, or untrustworthy. Glances is a new way to do integrations with a true no-code approach; no data syncing or scheduling jobs. See how it takes just minutes to connect your apps and start using a simplified customer view with Glances.
Glances is designed to support any application that provides an industry standard API, including custom applications. Here is a sample of some of the supported applications:
Glances TensorFlowNo features have been listed yet.
Based on our record, TensorFlow seems to be more popular. 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.
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 / about 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: almost 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
htop - htop - an interactive process viewer for Unix. This is htop, an interactive process viewer for Unix systems. It is a text-mode application (for console or X terminals) and requires ncurses. Latest release: htop 2.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
GNOME System Monitor - System Monitor is a tool to manage running processes and monitor system resources.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.