PyTorch might be a bit more popular than OpenWrt. We know about 106 links to it since March 2021 and only 103 links to OpenWrt. 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
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more... - Source: dev.to / 10 days ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / about 1 month ago
Import torch # we use PyTorch: https://pytorch.org Data = torch.tensor(encode(text), dtype=torch.long) Print(data.shape, data.dtype) Print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this. - Source: dev.to / 2 months ago
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries. - Source: dev.to / about 2 months ago
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework. - Source: dev.to / about 2 months 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
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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.