Based on our record, PyTorch seems to be a lot more popular than LibreMesh. While we know about 106 links to PyTorch, we've tracked only 4 mentions of LibreMesh. 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.
Https://libremesh.org/ is interesting, but it only really works if the devices is close enough to each other and either way, you will need a gateway to the rest of the internet. Source: over 2 years ago
Few routers are supported and widespread ad-hoc mesh networking remains mostly a pipe dream at this point. You can find a few attempts to do what you're asking for such as commotion and libremesh but they are just attempts and require significant planning put into the layout and configuration of the network which largely defeats your reason for wanting mesh networking. Like I said, there is little router support... Source: over 2 years ago
Today I head about mesh networks (https://libremesh.org/ or https://librerouter.org/) in a comment on r/ipfs. Source: about 3 years ago
IPFS is a solution on the software side for hardware check out https://libremesh.org/ or https://librerouter.org/. Source: about 3 years 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 / 22 days ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / about 2 months 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 / 3 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
cjdns - Cjdns is a networking protocol and reference implementation, founded on the ideology that networks...
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.
OpenWrt - OpenWrt is an open-source firmware based on Linux for wireless routers
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
GNUnet - GNUnet is a framework for secure peer-to-peer networking that does not use any centralized or...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.