DDSP-Piano: Differentiable Piano model for MIDI-to-Audio Performance Synthesis
MIDI-to-Audio piano synthesizer based on DDSP.
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MIDI-to-Audio piano synthesizer based on DDSP.
This is a component which is able to detect shot boundaries, the sampling structure and dynamic keyframes in a videos at a speed of four times faster than real-time.
The repository contains the python code for the manifold mixing model soup algorithm as proposed in the paper at https://arxiv.org/abs/2309.08610.
The dataset enables the open evaluation of photographic profile rating and ranking algorithms that can provide users with privacy-related feedback.
Method that provides privacy-related feedback for photographic user profiles
Implementation of different class-incremental methods
FaVCI2D is a face verification dataset including demographically-diversified faces and challenging negative faces.
AdvisIL recommends appropriate algorithm-backbone architecture combinations for a user-provided class-incremental learning scenario.
Transfer-learning-based method addressing exemplar-free class-incremental learning
MAD-TSC is a multilingual aligned dataset for target-dependent sentiment classification (TSC) on the news domain.