909 Open source projects that are alternatives of or similar to Dialoglue

Data-centric declarative deep learning framework

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

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。

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

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🏇 聊天机器人，自然语言理解，语义理解

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

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

TensorFlow code and pre-trained models for BERT

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

💫 Automated codification of Greek Legislation with NLP

Cornell Instruction Following Framework

Multi-Task Deep Neural Networks for Natural Language Understanding

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

Ruby SDK for Dialogflow

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）．

Pre-Trained Models for ToD-BERT

🚀 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.

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

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

Character-based word embeddings model based on RNN for handling real world texts

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

Sequence to sequence learning using TensorFlow.

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

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🚁 保险行业语料库，聊天机器人

This Word Does Not Exist

Detect the sentiment captured in short pieces of text

Pre-trained Mongolian BERT models

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

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

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Python tutorials as Jupyter Notebooks for NLP, ML, AI

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

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A two-level morphological analyzer for Turkish.

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

使用 RASA NLU 来构建中文自然语言理解系统（NLU）| Use RASA NLU to build a Chinese Natural Language Understanding System (NLU)

Mapping a variable-length sentence to a fixed-length vector using BERT model

XLNet Extension in TensorFlow

A curated list of awesome embedding models tutorials, projects and communities.