593 Open source projects that are alternatives of or similar to keras-chatbot-web-api

Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:

Multi-turn dialogue baselines written in PyTorch

kbqa task-oriented qa seq2seq ir neo4j jena seq2seq tf chatbot chat

A simple open domain generative based chatbot based on Recurrent Neural Networks

This repository contains a new generative model of chatbot based on seq2seq modeling.

Pytorch seq2seq chatbot

[unmaintained] Make seq2seq for keras work

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

seq2seq中文聊天机器人

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

TensorFlow implementation of Conversation Models

An AI chatbot using seq2seq

PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Tensorflow based Neural Conversation Models

Links to the implementations of neural conversational models for different frameworks

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

🤖️ 基于 PyTorch 的任务型聊天机器人（支持私有部署和 docker 部署的 Chatbot）

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

[unmaintained]

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Build conversation Seq2Seq models with TensorFlow

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

nlp lecture-notes and source code

TensorFlow reimplementation of Topic-to-Essay Generation with Neural Networks.

Text Simplification Model based on Encoder-Decoder (includes Transformer and Seq2Seq) model.

Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST dataset and doing Digit Recognition

Transfer pre-trained VRN model from torch to Keras/Tensorflow

Neural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations

Self driving car in GTAV with Deep Learning

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

Beam search for neural network sequence to sequence (encoder-decoder) models.

Gathers Tensorflow deep learning models.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Translating English sentences to Marathi using Neural Machine Translation

Neural network to classify certain styles of Electronic music

Theano implementation of Sequence-to-Sequence Autoencoder

Open solution to the Cdiscount’s Image Classification Challenge

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

seq2seq attention tensorflow textrank context

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

I have used FER2013 dataset and try to build the Facial emotion recognition using Keras

reimplementing Neural Summarization by Extracting Sentences and Words

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

TensorFlow Implementation of Twitter Chatbot

2019 Clova AI Hackathon : Speech - Rank 12 / Team Kai.Lib

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

Serving a keras model (neural networks) in a website with the python Django-REST framework.

PyTorch port of the paper "Language to Logical Form with Neural Attention"

Code for "Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization"

Seq2Seq Chatbot with attention mechanism

Several basic neural machine translation models implemented by PyTorch & TensorFlow