Trias: an encoder-decoder model for generating synthetic eukaryotic mRNA sequences

language-model codon-optimization encoder-decoder-models mrna-design

• Updated Apr 28, 2026
• Jupyter Notebook

This study investigates the performance effect of using recurrent neural networks (RNNs) for semantic segmentation of urban scene images, to generate a semantic output map with refined edges. We proposed three deep neural network architectures using recurrent neural networks and evaluated them on the Cityscapes dataset. All three proposed archit…

deep-learning recurrent-neural-networks convolutional-neural-networks image-segmentation scene-understanding cityscapes-dataset encoder-decoder-models

• Updated Dec 10, 2020
• Python

Successfully developed a Seq2Seq model with attention to perform Portuguese-to-English language translation, capturing contextual dependencies for accurate and fluent bilingual sentence generation.

natural-language-processing deep-learning language-translation text-generation seq2seq attention-mechanism seq2seq-model attention-is-all-you-need encoder-decoder-model attention-seq2seq seq2seq-neural-network seq2seq-attn seq2seq-tensorflow encoder-decoder-attention encoder-decoder-models

• Updated Jul 4, 2025
• Jupyter Notebook

Successfully developed a sequence-to-sequence model with attention mechanism for Ukrainian-to-English language translation, ensuring context-aware and grammatically accurate sentence outputs.

natural-language-processing deep-learning language-translation text-generation seq2seq natural-language-generation attention-mechanism seq2seq-model encoder-decoder attention-is-all-you-need encoder-decoder-model attention-mechanisms seq2seq-attn seq2seq-tensorflow encoder-decoder-attention encoder-decoder-models

• Updated Jul 4, 2025
• Jupyter Notebook