Based on our record, OpenWrt should be more popular than Keras. It has been mentiond 103 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.
If your current router supports a custom firmware like openWRT then you could do this without having to buy a new one. Source: 5 months ago
Unfortunately, I can't create an account via Github on the openwrt site. Source: 7 months ago
Anyone else having trouble reaching openwrt.org right now? I can't get the forums, main page or downloads. I've done plenty of troubleshooting and there isn't anything else on my network having trouble reaching anything else on the internet. Source: 8 months ago
On the router. openwrt.org has lots of great documentation that lays out exactly what you're looking for and then some. Source: 11 months ago
Is the Verizon one a combined modem/router? If you want to add your own router, you might have to call them and ask them to put it into bridged mode. I like OpenWRT because it gives you a lot of customization options. I've just been running it on an old TP-Link Archer C7 for the past 5 years or so and I haven't had any issues, but that's ancient hardware now. Source: 11 months ago
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. - Source: dev.to / 8 days ago
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. - Source: dev.to / 17 days ago
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. - Source: dev.to / 11 months ago
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. Source: 12 months ago
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / about 1 year ago
MikroTik RouterOS - The main product of MikroTik is a Linux-based operating system known as MikroTik RouterOS.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
pfSense - pfSense is a free and open source firewall and router that also features unified threat management, load balancing, multi WAN, and more
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
OPNsense - OPNsense® you next open source firewall. Free Download. High-end Security Made Easy™. Offers Intrusion Prevention, Captive Portal, Traffic Shaping and more.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.