cornell-corpus-dataset

There are 0 repository under cornell-corpus-dataset topic.

Kyubyong / msg_reply
a simple message reply suggestion system
chatbot cornell-corpus-dataset opensubtitles bert
Language:Python 79
sekharvth / simple-chatbot-keras
Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras
keras chatbot python cornell-corpus-dataset glove-vectors lstm-neural-networks lstm encoder-decoder-model language-generation chatbot-keras word-level-lstm
Language:Python 34
SudharshanShanmugasundaram / Chatbot
Chatbot implementation using Cornell Movie Dialog Dataset in PyTorch.The bot can converse with the user and can answer the questions asked though it doesn't pass the Turing Test
natural-language-processing seq2seq attention-mechanism pytorch python deep-learning recurrent-neural-networks gru lstm cornell-corpus-dataset encoder-decoder-model chatbot
Language:Jupyter Notebook 6
Abonia1 / TF-Chatbot
Tensorflow Chatbot trained with Cornell movie-dialog corpus
tensorflow chatbot dataset cornell-corpus-dataset cnn seq2seq flask
Language:Jupyter Notebook 5
bigmb / ChatBot
ChatBot using Recuurent Neural networks and Cornell Corpus dataset (TensorFlow)
chatbot cornell-corpus-dataset rnn-encoder-decoder tensorflow
Language:Python 3
andreaspung / conversational-chatbot
Fine-tuning the GPT-2 model on the Cornell Movie-Dialogues Corpus dataset to create a conversational chatbot.
gpt-2 chatbot cornell-corpus-dataset
Language:Jupyter Notebook 2
filippogiruzzi / nlp_chatbot
Realistic Chatbot based on NLP & TensorFlow
nlp natural-language-processing python tensorflow chatbot deep-learning deep-neural-networks natural-language-generation natural-language-understanding deeplearning artificial-intelligence machine-learning cornell-corpus-dataset sequence-to-sequence text-generation language-model language-modeling seq2seq seq2seq-chatbot seq2seq-tensorflow
Language:Python 2
Pritom-sarker / Tinu_chatbot_seq2seq_tensorflow
This is a implementation of Twitter/Cornell-Movie Chatbot Tinu . A sequence2sequence chatbot implementation with TensorFlow 1.10 . I just use 10% data of full dataset. you can use full dataset.Then you need to read full article.
sequence2sequence-chatbot tensorflow python chatbot cornell-corpus-dataset
Language:Python 1
Dhrumil1808 / chatbot
Rule based chat-bot using CNN based on multi class text classification which responds to all queries on Deep Learning class. As a fallback option added generative chat-bot trained on cornell movie dialog corpus using sequence to sequence RNN model.
deep-learning deep-neural-networks cnn-model rnn-model tensorflow cornell-corpus-dataset gpu-tensorflow sequence-to-sequence seq2seq
Language:Python 0
zalkikar / limitation-learning
Generative adversarial imitation learning to produce a proxy for the reward function present in dialogue.
seq2seq-attn generative-adversarial-network cornell-corpus-dataset imitation-learning pytorch-implementation dialogue-generation gail
Language:Jupyter Notebook 0
drakno93 / ConvoBot
Simple Telegram chatbot trained on the Cornell Movie-Dialogs Corpus.
chatbot telegram-bot python cornell-corpus-dataset
Language:Python
reshalfahsi / ykfbot
Your Kind Friend Bot: Unreliable Chatbot
chatbot deeplearning textgeneration cornell-corpus-dataset telegrambot-python heroku tensorflow
Language:Python
Sanket758 / Chatbot-with-Pytorch
chatbot cornell-corpus-dataset gru lstm python python3 rnn pytorch seq2seq-chatbot seq2seq torch cornell-movie-dataset attention-mechanism attention-model data-preprocessing data-prepar
Language:Jupyter Notebook