BugSnag
Sentry.io
Rollbar
AirBrake
Raygun
Instabug
Firebase Crashlytics
TrackJS JavaScript Error Logging
Keras
TensorFlow
PyTorch
Scikit-learn
OpenCV
TFlearn
Clarifai
Microsoft Cognitive Toolkit (Formerly CNTK)
Bugsnag monitors application stability so you can make data-driven decisions on whether you should be building new features or fixing bugs.
We are a full stack stability management solution with best-in-class functionality for mobile applications.
BugSnagI've been using BugSnag for several years now in multiple projects. The integration with Ruby on Rails is seamless and flawless, and I've never experienced a single issues.
Based on our record, Keras seems to be a lot more popular than BugSnag. While we know about 32 links to Keras, we've tracked only 2 mentions of BugSnag. 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.
Bugsnag (SmartBear) | Android SDK Engineer | Full time | Onsite (Bath, UK) or Remote (UK) | https://bugsnag.com/ Cross platform crash-reporting and application stability dashboard. We're looking for an experienced Android engineer to join our open source team and help maintain our Android SDKs - used by engineering teams worldwide including some of the biggest names in tech. Work with a team of diversely-skilled... - Source: Hacker News / over 2 years ago
Bugsnag.com btw is contacted if Error Reporting is enabled. Feel free to disable that. Source: over 2 years 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 / 6 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 / about 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 / 2 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 / 12 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
Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.
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.
Rollbar - Rollbar collects errors that happen in your application, notifies you, and analyzes them so you can debug and fix them. Ruby, Python, PHP, Node.js, JavaScript, and Flash libraries available.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
AirBrake - Airbrake is the leading exception reporting service, currently providing error tracking.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.