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seq2seq-neural-network

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SayamAlt / News-Summarization-using-Seq2Seq-Attention

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Successfully developed a news summarization model using a Seq2Seq architecture with attention mechanism to generate concise and contextually accurate summaries from long-form news articles.

natural-language-processing deep-learning tensorflow keras text-summarization seq2seq natural-language-generation attention-mechanism seq2seq-model keras-tensorflow natural-language-understanding news-summarization attention-model attention-is-all-you-need seq2seq-neural-network seq2seq-tensorflow seq2seq-attention
  • Updated Jul 4, 2025
  • Jupyter Notebook

SayamAlt / Portuguese-to-English-Language-Translation-using-Seq2Seq-Attention

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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

SayamAlt / Samsum-Dialogues-Text-Summarization-using-Seq2Seq-Attention

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Successfully developed a text summarization model using Seq2Seq with attention to condense multi-turn dialogues from the SAMSum dataset into coherent and informative summaries.

natural-language-processing deep-learning tensorflow keras text-summarization seq2seq attention natural-language-generation attention-mechanism seq2seq-model keras-tensorflow natural-language-understanding attention-is-all-you-need attention-mechanisms seq2seq-neural-network seq2seq-tensorflow seq2seq-attention dialogue-summarization samsum-dataset
  • Updated Jul 4, 2025
  • Jupyter Notebook

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