Freenet
I2P
Tor Browser
Psiphon
OpenVPN
Yggdrasil
ZeroNet
Hotspot Shield
Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
OpenCV
Clarifai
Microsoft Cognitive Toolkit (Formerly CNTK)
FreenetFreenet might be a bit more popular than Keras. We know about 33 links to it since March 2021 and only 31 links to Keras. 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.
You are linking "original Freenet" to a PDF on freenet.org instead of linking to freenetproject.org ? Source: about 1 year ago
It clashes with the Freenet project https://freenetproject.org/. Source: about 1 year ago
There's a few abstractions of the web you can use today. https://freenetproject.org/ https://geti2p.net/en/ https://www.gnunet.org/en/ https://www.ipfs.tech/. - Source: Hacker News / about 1 year ago
Instead of use of Blockchain you could also use Freenet . The only bad thing here data could be lost, but mostly only data is lost when not used. This could be used to auto purge forks that most people dislike. If for example some reason there are multiple alternatives how the story goes some of them will die after a while and removed from system. Source: about 1 year ago
An automatically space balancing solution would be Freenet. Given that it's content addressing, it's possible to push data into it and have it deduplicate automatically. Source: over 1 year 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 / 27 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 / about 1 month 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: about 1 year 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 / over 1 year ago
I2P - The I2P network provides strong privacy protections for communication over the Internet.
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.
Tor Browser - Tor is free software for enabling anonymous communication.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Psiphon - Psiphon is circumvention software for Windows and Mobile platforms that provides uncensored access to Internet content. Read more about Psiphon.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
