Based on our record, ZeroMQ should be more popular than TensorFlow. It has been mentiond 35 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.
In this post from 2011, the creator of Omegle, Leif Brooks, explains what technology is used, including Python and a library called gevent for the backend. On top of that, Adobe Cirrus is used for streaming video. Though this post was 12 years ago, it is valuable to know what a web application like Omegle requires. A modern library that may provide some functionality for a text chat at a minimum may be... Source: 6 months ago
They might be thinking of something like ZeroMQ, which is pretty well liked: https://zeromq.org/ That said, I wouldn't call RabbitMQ that heavyweight myself, at least when compared to something like Apache Kafka. - Source: Hacker News / 7 months ago
If you want to learn message passing in an environment you're familiar with, you should check out ZeroMQ. It's a C++ lib for socket abstraction, it's immensely useful in distributed systems, it can also do in-process message passing, and it's got bindings/ports for C and Rust. Source: 12 months ago
Inspired by the IDE language server protocol, I created an API interface between the electron and the Python ML interface. ZeroMQ turned out be an invaluable resource as a fast and lightweight messaging queue between the two. - Source: dev.to / about 1 year ago
If you really need it live, like for a chat or auctions you can use https://zeromq.org/ over websockets. Source: about 1 year 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 / 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
RabbitMQ - RabbitMQ is an open source message broker software.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.