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Based on our record, Keras seems to be a lot more popular than Digma.ai. While we know about 32 links to Keras, we've tracked only 3 mentions of Digma.ai. 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 you need an extra shortcut in bootstrapping OpenTelemetry (OTEL) to your spring application or want to integrate all of that important data into your dev process, consider free developer tools such as Digma. Digma is a Continuous Feedback(CF) tool that is meant to streamline the work of collecting and processing data about your code from OTEL observability sources. Digma runs locally as an IDE plugin and... - Source: dev.to / 7 months ago
Observability is somewhat resistant to examples, everything I try to come up with feels a bit synthetic and unrealistic when I examine it after the fact. Having said that, I looked at my modified version of the venerable Spring Pet Clinic demo using digma.ai. Running it showed several interesting concepts taken by Digma. - Source: dev.to / 9 months ago
Hi this is Roni and Nir from digma.ai, we are launching Digma on ProductHunt today! Digma is a Continuous Feedback IDE plugin for Java. It automatically collects observability data for your code and analyzes the runtime data for issues. We're super excited to let more developers experiment with Digma and provide their input. We are immensely grateful for any support or feedback from the community during our... Source: 9 months 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 / 19 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
Cerelyze - Turn technical research papers into useable code
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.
Code GPT - Artificial intelligence inside Visual Studio Code
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
SCode Studio - Programming on mobile app/mobile coding IDE and platform
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.