基于Transformer的单模型、多尺度的VAE模型
需要大于0.10.6版本的bert4keras（当前还没有推到pypi上，可以直接从GitHub上clone最新版）。
@misc{univae,
title={UniVAE: Transformer-based Unified Variational Autoencoders},
author={Jianlin Su},
year={2021},
howpublished={\url{https://github.com/bojone/univae}},
}
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data2vec-pytorch PyTorch implementation of "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" from Meta AI (F
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Fork from https://github.com/huggingface/transformers/tree/86d5fb0b360e68de46d40265e7c707fe68c8015b/examples/pytorch/language-modeling at 2021.05.17.
VAENAR-TTS - PyTorch Implementation PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.
Introduction A custom predictor allows you to deploy your own prediction implementation, useful when the existing serving implementations don't fit yo
CodeJ A python project made to generate code using either OpenAI's codex or GPT-J (Although not as good as codex) Install requirements pip install -r
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