ManageEngine EventLog Analyzer
Cryptlex
BetterCloud
Git
Boomi
ManageEngine ADManager Plus
MapR
Zoho Creator
Apple Core ML
Amazon Machine Learning
TensorFlow Lite
Roboflow Universe
ML5.js
Machine Learning Playground
Lobe
Apple Machine Learning Journal
ManageEngine EventLog Analyzer is a comprehensive log management solution that enables the automation of log management, log collection, analysis, event correlation, file integrity monitoring, log search, and archival, from a single console. It aggregates log data from all parts of your network and ingests log data from Windows/Unix servers, databases, web servers, applications, and network devices such as firewalls, routers, switches, and IDS/IPS. The solution analyzes the collected log data to generate intuitive audit reports and dashboards.
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ManageEngine EventLog Analyzer Apple Core MLBased on our record, Apple Core ML seems to be more popular. It has been mentiond 7 times since March 2021. 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.
On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / about 2 months ago
Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 4 months ago
For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: 12 months ago
> It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / 12 months ago
This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago
Cryptlex - Cryptlex is an IT Management software, designed to help you maximize the revenue potential of your software by protecting you against software piracy.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
BetterCloud - BetterCloud provides critical insights, automated management, and intelligent data security for cloud office platforms.
TensorFlow Lite - Low-latency inference of on-device ML models
Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.
Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.