1227 Open source projects that are alternatives of or similar to Max Text Sentiment Classifier

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

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）．

Models and Pipelines for the Spark NLP library

Quiz & Assignment of Coursera

A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)

Pre-Trained Models for ToD-BERT

Ruby SDK for Dialogflow

Language, Knowledge, Cognition

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

Pre-trained Mongolian BERT models

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

Multi-Task Deep Neural Networks for Natural Language Understanding

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

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

A two-level morphological analyzer for Turkish.

A curated list of NLP resources for Hungarian

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

XLNet Extension in TensorFlow

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

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

Sequence to sequence learning using TensorFlow.

🏇 聊天机器人，自然语言理解，语义理解

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Natural Language Processing Best Practices & Examples

🚁 保险行业语料库，聊天机器人

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

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

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

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)

😡😇 Stanford Sentiment Treebank loader in Python

Русскоязычный чатбот

Python tutorials as Jupyter Notebooks for NLP, ML, AI

DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue

Beautiful visualizations of how language differs among document types.

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

Materials for deep NLP course

SLING - A natural language frame semantics parser

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

Neural Models for Conversational AI

ConvAI baseline solution

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。

DEPRECATED: this repo is no longer actively maintained

Named Entity Recognition

Container images for IBM® MQ

Upscale an image by a factor of 4, while generating photo-realistic details.

Compendium of the resources available from top NLP conferences.

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

🚀 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.

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

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

Cornell Instruction Following Framework

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

Data-centric declarative deep learning framework

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

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

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

TensorFlow code and pre-trained models for BERT

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