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π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TensorFlow code and pre-trained models for BERT
Deezer source separation library including pretrained models.
Magenta: Music and Art Generation with Machine Intelligence
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
π Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Muzic: Music Understanding and Generation with Artificial Intelligence
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Official Python client for Elasticsearch
π₯ TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
Conditional GAN for generating synthetic tabular data.
GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
Multi-modal Content Creation Model Training Infrastructure including the FACT model (AI Choreographer) implementation.
implementation of music transformer with tensorflow-2.0 (ICLR2019)
A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'
[ACM MM 20 Oral] PyTorch implementation of Self-supervised Dance Video Synthesis Conditioned on Music
Implementation of Very Deep Convolutional Neural Network for Text Classification
Multi-Track Music Generation with the Transfomer and the Johann Sebastian Bach Chorales dataset
TOEIC(Test of English for International Communication) solving using pytorch-pretrained-BERT model.
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Custom image data generator for TF Keras that supports the modern augmentation module albumentations
Code repo for ICME 2020 paper "Style-Conditioned Music Generation". VAE model that allows style-conditioned music generation.