Introduction nmt-chatbot is the implementation of chatbot using NMT - Neural Machine Translation (seq2seq). Includes BPE/WPM-like tokenizator (own implementation). Main purpose of that project is to make an NMT chatbot, but it's fully compatible with NMT and still can be used for sentence translations between two languages.

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

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.

A Seq2Seq model for Tensorflow 2.0 and a few Tensorflow/Keras Seq2Seq model experiments.

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

Successfully developed a French text summarization model using the MLSum dataset and a Seq2Seq architecture with attention mechanism to generate concise and coherent summaries from long-form news articles.

Successfully developed a dialogue summarization model using a Seq2Seq architecture with Attention on the DialogSum dataset to generate concise and coherent summaries of multi-turn conversations.

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

Sequence-to-Sequence Models

Successfully implemented a sequence-to-sequence text summarization model with attention mechanism to generate concise and context-aware abstractive summaries for citation-based academic texts from the CiteSum dataset, enabling efficient literature review and reference management.

My Deep Learning projects and tutorials done during my participation on the Deep Learning Nanodegree Foundations program at Udacity.

使用SequenceToSequence实现的简单聊天机器人

Seq2Seq model that restores punctuation on English input text.

Implementation of Neural Machine Translation from Spanish to English

Recurrent Neural Networks and their fun little usage

Realistic Chatbot based on NLP & TensorFlow

Build A task oriented conversational model using seq2seq approaches approaches : without-Attention, with-Attention, with-Transfer Learning

include many sub-algorithms for the field of NLP

Chatbot using Seq2Seq model using Tensorflow