Coralogix
Datadog
Noction Flow Analyzer (NFA)
N-able Backup
SolarWinds Orion Platform
NinjaOne
The Galileo Suite
Zabbix
Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
OpenCV
Clarifai
Microsoft Cognitive Toolkit (Formerly CNTK)
CoralogixBased on our record, Keras seems to be a lot more popular than Coralogix. While we know about 31 links to Keras, we've tracked only 2 mentions of Coralogix. 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.
In defense of Grafana Loki, it's awesome... If you have a lot of information about your telemetry data up front - i.e volumes, use cases, how you wish to query it etc. A broader solution like Coralogix (https://coralogix.com/) is more appropriate if you're venturing into the unknown and you need more of a data discovery capability. The problem with most of THESE "all in one" platforms is they tried flexibility and... - Source: Hacker News / about 1 year ago
We, coralogix.com, are looking for a Rust engineer with some experience of database engineering. Source: about 2 years 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 / about 1 month 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
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
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.
Noction Flow Analyzer (NFA) - Powerful, Feature-rich, Affordable in-depth traffic analysis system, built with network engineers in mind.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
N-able Backup - Backing up your data and data protection has never gotten easier.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.