Parallel-Tacotron2
how-do-vits-work
| Parallel-Tacotron2 | how-do-vits-work | |
|---|---|---|
| 1 | 3 | |
| 186 | 784 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | almost 2 years ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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Parallel-Tacotron2
how-do-vits-work
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A New Deep Learning Study Investigate and Clarify the Intrinsic Behavior of Transformers in Computer Vision
Github: https://github.com/xxxnell/how-do-vits-work
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[D] Paper Explained – How Do Vision Transformers Work?
Code for https://arxiv.org/abs/2202.06709 found: https://github.com/xxxnell/how-do-vits-work
- How Do Vision Transformers Work?
What are some alternatives?
FastSpeech2 - An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
awesome-fast-attention - list of efficient attention modules
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
MPViT - [CVPR 2022] MPViT:Multi-Path Vision Transformer for Dense Prediction
WaveRNN - WaveRNN Vocoder + TTS
mmdetection - OpenMMLab Detection Toolbox and Benchmark
marytts - MARY TTS -- an open-source, multilingual text-to-speech synthesis system written in pure java
vit-explain - Explainability for Vision Transformers
vits - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
query-selector - LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION
TensorFlowTTS - :stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
attention_to_gif - Visualize transition of attention weights across layers in a Transformer as a GIF