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Code for Residual Energy-Based Models for Text Generation in PyTorch.
Cascaded Text Generation with Markov Transformers
attentional sequence-to-sequence model (based on LSTMs) in TFLite Micro, tested on Arduino Nano 33 BLE
Latent Alignment and Variational Attention
Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)
STEGASURAS: STEGanography via Arithmetic coding and Strong neURAl modelS
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