Based on our record, Keras seems to be a lot more popular than Element.io. While we know about 32 links to Keras, we've tracked only 1 mention of Element.io. 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.
I love how Matrix or its most popular client Element do not even get a mention. Source: about 1 year ago
The title undersells the change a bit in my opinion. By default, mastodon now encourages new users to sign-up on https://mastodon.social which has caused a bit of a kerfuffle in the fediverse. Personally, I'm largely ambivalent to the change; I understand the reasoning, and it's what https://element.io has been doing for https://matrix.org since the beginning. It is more than a bit of a sea-change though given the... - Source: Hacker News / about 1 year ago
We currently have the Matrix protocol, with client applications such as Element supporting it. We also have XMPP as another option. Generally more modern than IRC, these platforms are primarily developed as FOSS software. This makes it less likely for developers to impact their users negatively. However, despite these advantages, these platforms lack the refined user experience (addictiveness and stickiness) that... Source: about 1 year ago
Please DM me if you are interested in hiring me or have any questions at all. We will work via Element (https://element.io) voice/screen share calls, so please make sure you have a mic available. I look forward to hearing from you. Source: about 1 year ago
Your best bet is probably matrix, the most user friendly client iirc is element. Source: about 1 year ago
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 27 days 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 / 2 months 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 / 3 months 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 / about 1 year 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
Matrix.org - Matrix is an open standard for decentralized persistent communication over IP.
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.
Signal - Fast, simple & secure messaging. Privacy that fits in your pocket.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Telegram - Telegram is a messaging app with a focus on speed and security. It’s superfast, simple and free.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.