Speech recognition with tensorflow
Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
Deep-Learning Model Exploration and Development for NLP
NLP Core Library and Model Zoo based on PaddlePaddle 2.0
🏖 Easy training and deployment of seq2seq models.
Screenshot To Code
A neural network that transforms a design mock-up into a static website.
Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.
Statistical NLG for spoken dialogue systems
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
State of the Art Natural Language Processing
It is a question-generator model. It takes text and an answer as input and outputs a question.
🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.
Seq2seq chatbot new
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
Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:
This repository contains the code for a video captioning system inspired by Sequence to Sequence -- Video to Text. This system takes as input a video and generates a caption in English describing the video.
Machine Learning and having it Deep and Structured (MLDS) in 2018 spring
Text and Punctuation correction with Deep Learning
DELTA is a deep learning based natural language and speech processing platform.
A Pytorch Implementation of Tacotron: End-to-end Text-to-speech Deep-Learning Model
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
CakeChat: Emotional Generative Dialog System
Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex
An implementation of RNNsearch using TensorFlow
A model to transform english into Cypher queries, based off the CLEVR-graph dataset
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.