LibreMesh VS Keras

LibreMesh Reviews

Keras Reviews

LibreMesh mentions (4)

• Mesh network first node

  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

• Software that automatically makes your router part of mesh network?

  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

• Incentive for running mesh networks and becoming an ISP

  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 decentralized but not independent? Thus can be censored?

  IPFS is a solution on the software side for hardware check out https://libremesh.org/ or https://librerouter.org/. Source: about 3 years ago

Keras mentions (31)

• My Favorite DevTools to Build AI/ML Applications!

  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 / 5 days ago

• Getting Started with Gemma Models

  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 / 14 days ago

• How popular are libraries in each technology

  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 / 10 months ago

• Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!

  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

• How to query pandas DataFrames with SQL

  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