There are 7 repositories under seq2seq-model topic.
Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:
Facebook chatbot that I trained to talk like me using Seq2Seq
A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
🤖 Deep Reinforcement Learning Chatbot
Seq2seq chatbot with attention and anti-language model to suppress generic response, option for further improve by deep reinforcement learning.
Somiao Pinyin: Train your own Chinese Input Method with Seq2seq Model 搜喵拼音输入法
A Paper List for Open-Domain Dialogue Generation, and related datasets.
A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
Chinese Poetry Generation
Implementation of seq2seq with attention in keras
a chatbot which is implemented via seq2seq model.
My seq2seq based on tensorflow
Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021
Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)
Text Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.
lstm-rnn, seq2seq model and attention-seq2seq model for vessel trajectory prediction.
Simple keras chat bot using seq2seq model with Flask serving web
Implementation and reviews of Audio & Computer vision related papers in python using keras and tensorflow.
A numpy implementation of the Transformer model in "Attention is All You Need"
An AI chatbot using seq2seq
image captioning trained using COCO dataset in pytorch
nlp lecture-notes and source code
Several basic neural machine translation models implemented by PyTorch & TensorFlow
This project is to create conversational chatbot using Sequence to sequence LSTM models. Sequence to sequence learning is about training models to convert from one domain to sequences another domain.🔊👾😎
A personified chatbot responding to a query based on the answering pattern of Dr. APJ Abdul Kalam using Information Retrieval, Natural Language Processing, and Deep Learning techniques.
Question answering system developed using seq2seq and memory network model in Keras
Exploration of various deep neural networks for Question Answering and Reading Comprehension
A simple language translator implemented in Keras with Flask serving web
Programming assignments of "Sequence Models" course by Andrew Ng.
Chatbot using Seq2Seq model and Attention
Neural Persian Poet: A sequence-to-sequence model for composing Persian poetry
Predict Bitcoin Price using Recurrent Neural Network
Works for Applied Deep Learning / Machine Learning and Having It Deep and Structured (2017 FALL) @ NTU