Mildred vs ML Trainer

Features: - SSH Client with a password or RSA authentication - Build-in SSH Port Forwarding, aka SSH Tunneling support - Basic command-line based-on xTerm to access shell - Manager docker server via SSH or HTTP (with RSA keys secure connection) - With docker-compose supported - Statistics and Charts for containers - Monitor CPU, memory, container log and send alert messages - Push notification API to send customized messages to your hand - Customize shell commands to execute - Customize intranet services to access Benefits: - Free license for everyone. You will get a free license on every device running Mildred App. - Referral program. Refer your friends and get rewards when they buy any service. - Free push service. One month free push service for every device no matter what kind of the license is. Before starting a subscription and completing payment, you’ll see the plan price. This amount will be charged to your iTunes account at confirmation of purchase and on renewal and will vary by plan and country. Mildred subscriptions renew monthly, 6 months or yearly, depending on your plan. Your account will be charged for renewal 24 hours before the end of your current billing period. To avoid auto-renewal, turn it off in at least 24 hours before your subscription renews. You can turn off auto-renewal anytime time from your iTunes account settings. You can manage and cancel your subscriptions by going to your account settings on the App Store after purchase. Link of the Privacy Policy: https://aifetel.cc/privacy.html Link of the License Agreement: https://aifetel.cc/terms.html

Creating original training data for Image Classification machine learning models just got a little easier! ML Trainer allows developers to quickly capture and export thousands of images to the Photos app, allowing every image to be imported with iCloud or the built in Image Capture app on Mac. Press the Scan button to capture a preset amount of images as you move closer to or pivot around your subject, or Tap the Camera button to capture a single picture. Toggle the Flashlight to improve results in low light conditions, and tap the Save button to export any captured images to the Photos app. While each image is always captured at a speed of 3 Frames Per Second, you can adjust the Frame Count of each Scan in the Settings Menu. A larger Frame Count will save you time, while a lower Frame Count will help improve accuracy across different angles. Enabling Crosshairs and Guides in the Settings Menu can also help improve accuracy. This app was specifically designed to speed up the process of importing data into the Xcode Developer Tool named CreateML. Exported images should also be compatible with other platforms like TensorFlow and Azure Machine Learning. A wired connection to a macOS device with the Image Capture app open will always be the fastest way to import your data to desktop.