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π₯24th place solution for SenNet + HOA - Hacking the Human Vasculature in 3D
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[ACM MM 20 Oral] PyTorch implementation of Self-supervised Dance Video Synthesis Conditioned on Music
This module contains models an API for music generation with state-of-the-art models.
[pytorch] music generation project by GAN network
Code repo for ICME 2020 paper "Style-Conditioned Music Generation". VAE model that allows style-conditioned music generation.
Muzic: Music Understanding and Generation with Artificial Intelligence
Conditional GAN for generating synthetic tabular data.
GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis
Multi-modal Content Creation Model Training Infrastructure including the FACT model (AI Choreographer) implementation.
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Hands-On Generative AI with Python and TensorFlow 2, published by Packt
implementation of music transformer with tensorflow-2.0 (ICLR2019)
Multi-Track Music Generation with the Transfomer and the Johann Sebastian Bach Chorales dataset
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.