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項結果: 1 - 7 共有 7
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- 363 FXB
- +1
- Story - Insight
- iOS 應用程式: 健康塑身 由: Weida Fan
- 免費
- 清單: 0 0 0
- 點數: 1 + 0 版本: 1.0.2 This application allows you to jot down anything that troubles you. When you struggle with managing your emotions, you can do a self-analysis based on two professional models: ... ⥯
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- 1,388 Ti Sel
- +1
- Piano Play-along
- iOS 應用程式: 音樂與音效 由: Weida Fan
- $0.99
- 清單: 2 0 0
- 點數: 2 + 0 版本: 1.0 This software enables you to learn a piano piece with ease: - Provide any audio file, and it will use machine learning to convert it to MIDI. - The piano roll follows you as you play, ... ⥯
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- 363 FXB
- +1
- Piano Play-along
- iOS 應用程式: 音樂與音效 由: Weida Fan
- $0.99
- 清單: 2 0 0
- 點數: 2 + 0 版本: 1.0 This software enables you to learn a piano piece with ease: - Provide any audio file, and it will use machine learning to convert it to MIDI. - The piano roll follows you as you play, ... ⥯
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- 512 expat4i
- +1
- FinderQuery Server
- macOS 應用程式: 公用程式與工具 由: Weida Fan
- 免費
- 清單: 1 0 0
- 點數: 2 + 0 版本: 2.0.0 FinderQuery Server turns your Mac into a secure, local file server for FinderQuery Client on iPhone, iPad, and Apple Vision Pro. Once installed, FinderQuery Client can connect to your ... ⥯
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- 452 J-Unit
- +1
- Piano Transcriptionist
- iOS 應用程式: 音樂與音效 由: Weida Fan
- 免費
- 清單: 0 0 0
- 點數: 1 + 23 (4.6) 版本: 2.2 Piano Transcriptionist turns existing piano recordings into editable MIDI and clean piano sheet music, directly on your device. It is designed for people who have audio of piano music ... ⥯
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- 3,777 Dragon
- +1
- FinderQuery Server
- macOS 應用程式: 公用程式與工具 由: Weida Fan
- 免費
- 清單: 1 0 0
- 點數: 2 + 0 版本: 2.0.0 FinderQuery Server turns your Mac into a secure, local file server for FinderQuery Client on iPhone, iPad, and Apple Vision Pro. Once installed, FinderQuery Client can connect to your ... ⥯
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- 3,777 Dragon
- +1
- AnnotationCreater
- macOS 應用程式: 工具 由: Weida Fan
- 免費
- 清單: 0 0 0
- 點數: 1 + 0 版本: 1.8 Generate createML annotations which can be trained by createML. Feature: Annotate based on a trained model Go to Annotate > based on model... and drop a trained model. (.mlmodel or ... ⥯
