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- 235 FXB
- +1
- Story - Insight
- iOS 应用: 健康 来自: Weida Fan
- 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 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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- 842 Ti Sel
- +1
- Piano Play-along
- iOS 应用: 音乐 来自: Weida Fan
- $0.99
- 列表: 2 + 0 排名: 0 评价: 0
- 积分: 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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- 235 FXB
- +1
- Piano Play-along
- iOS 应用: 音乐 来自: Weida Fan
- $0.99
- 列表: 2 + 0 排名: 0 评价: 0
- 积分: 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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- 565 expat4i
- +1
- FinderQuery Server
- macOS 应用: 工具 来自: Weida Fan
- 免费
- 列表: 1 + 0 排名: 0 评价: 0
- 积分: 2 + 0 版本: 1.1 FinderQuery Server acts as the server app for "FinderQuery Client" FinderQuery Client allows you to browse files on your desktop using your mobiles devices in the local network. - ... ⥯
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- 464 J-Unit
- +1
- Piano Transcriptionist
- macOS 应用: 音乐 来自: Weida Fan
- 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 1 + 10 (4.4) 版本: 1.6.2 Transform your audio tracks into MIDI effortlessly with our cutting-edge app. Leveraging the power of Machine Learning, our application specifically targets piano tracks to ensure ... ⥯
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- 2,571 Dragon
- +1
- FinderQuery Server
- macOS 应用: 工具 来自: Weida Fan
- 免费
- 列表: 1 + 0 排名: 0 评价: 0
- 积分: 2 + 0 版本: 1.1 FinderQuery Server acts as the server app for "FinderQuery Client" FinderQuery Client allows you to browse files on your desktop using your mobiles devices in the local network. - ... ⥯
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- 2,571 Dragon
- +1
- AnnotationCreater
- macOS 应用: 软件开发工具 来自: Weida Fan
- 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 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 ... ⥯
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