814 Open source projects that are alternatives of or similar to Convai Baseline

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

This Word Does Not Exist

Compendium of the resources available from top NLP conferences.

This repo contains implementation of different architectures for emotion recognition in conversations.

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.

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

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.

NLP made easy

IssuesにNLP（自然言語処理）に関連するの論文を読んだまとめを書いています．雑です．🚧 マークは編集中の論文です（事実上放置のものも多いです）．🍡 マークは概要のみ書いてます（早く見れる的な意味で団子）．

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

Data-centric declarative deep learning framework

Global-Locally Self-Attentive Dialogue State Tracker

A dialogue bot for information access

Neural Models for Conversational AI

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

🤖 聊天机器人，对话模板

Logical Unity for Communicational Interactivity

A curated list of resources dedicated to Natural Language Generation (NLG)

Evaluating Machines by their Real-World Language Use

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

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

SLING - A natural language frame semantics parser

A paper list of research conducted based on wikiHow

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

Language, Knowledge, Cognition

Detect the sentiment captured in short pieces of text

Attention-based multimodal fusion for sentiment analysis

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

❤️Emotional First Aid Dataset, 心理咨询问答、聊天机器人语料库

Conversational AI Reading Materials

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Paper list of NLP for recommender systems

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Paraphrase Generation model using pair-wise discriminator loss

A collection of natural language processing notebooks.

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。

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

Named Entity Recognition

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

基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话

An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.

Sequence to sequence learning using TensorFlow.

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

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Machine Reading Comprehension in Tensorflow

Pre-trained Mongolian BERT models

Paper reading list in natural language processing, including dialogue systems and text generation related topics.

Neural question generation using transformers

TensorFlow code and pre-trained models for BERT

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

💫 Automated codification of Greek Legislation with NLP

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

🚁 保险行业语料库，聊天机器人

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

Ruby SDK for Dialogflow

🏇 聊天机器人，自然语言理解，语义理解

Natural Language Processing Best Practices & Examples