872 Open source projects that are alternatives of or similar to Trade Dst

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

PyTorch Implementation of NBA game summary generator.

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

It is a question-generator model. It takes text and an answer as input and outputs a question.

State of the Art Natural Language Processing

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Sequence to sequence learning using TensorFlow.

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

PyTorch implementation of beam search decoding for seq2seq models

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

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

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

This is a list of open-source projects at Microsoft Research NLP Group

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

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

Pre-Trained Models for ToD-BERT

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

Statistical NLG for spoken dialogue systems

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

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

🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。

Pytorch NLP library based on FastAI

Tutorial: Natural Language Processing in Python

PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.

Text summarization using seq2seq in Keras

Natural Language Processing Tasks and References

Graph-based and Transition-based dependency parsers based on BiLSTMs

A dataset of millions of news articles scraped from a curated list of data sources.

TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".

Basic Seq2Seq, Attention, CopyNet

The CMU Link Grammar natural language parser

Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

chatbot_ner: Named Entity Recognition for chatbots.

Implementation of seq2seq word-level model using keras

Exploring Neural Text Simplification

The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"

💁‍♀️Your new best friend powered by an artificial neural network

collect the open dialog corpus and some useful data processing utils.

Limited Rust implementation of the Ink markup/scripting language for game narratives

PyTorch implementation of the position-aware attention model for relation extraction

Auto Segmentation Criterion (ASG) implemented in pytorch

KE-Dialogue: Injecting knowledge graph into a fully end-to-end dialogue system.

🧹 Python package for text cleaning

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

The Schema-Guided Dialogue Dataset

This repository contains recent research on fake news.

Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html

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

Links to the implementations of neural conversational models for different frameworks

An AI chatbot using seq2seq

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

A curated list of awesome Distributed Deep Learning resources.

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

Deep Learning for Computer Vision (CommE 5052) in NTU

A Keras library for multi-step time-series forecasting.

A curated list of awesome awesomeness about artificial intelligence