1416 Open source projects that are alternatives of or similar to Gluon Nlp

Natural Language Processing Best Practices & Examples

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。

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.

🏇 聊天机器人，自然语言理解，语义理解

Neural question generation using transformers

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)

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

AutoGluon: AutoML for Text, Image, and Tabular Data

Papers and Book to look at when starting NLP 📚

A curated list of NLP resources for Hungarian

ConvAI baseline solution

Data-centric declarative deep learning framework

Models and Pipelines for the Spark NLP library

This Word Does Not Exist

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

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

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

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

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

用python做计算机视觉，人工智能，机器学习，深度学习等

Machine Learning University: Accelerated Natural Language Processing Class

A collection of natural language processing notebooks.

Ruby SDK for Dialogflow

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Compendium of the resources available from top NLP conferences.

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

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

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Korean English NMT(Neural Machine Translation) with Gluon

Simulate quantization and quantization aware training for MXNet-Gluon models.

Machine Learning University: Accelerated Computer Vision Class

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

Random fun with statistical language models.

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

PyTorch Implementation of OpenAI GPT-2

Gluon to PyTorch deep neural network model converter

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

The Open Source AI Chatbot Platform Builder in 100% C# Running in .NET Core with Machine Learning algorithm.

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）．

MXNet Gluon Synchronized Batch Normalization Preview

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

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

Botfuel SDK to build highly conversational chatbots

this simple tutorial will introduce how to use im2rec for mx.image.ImageIter , ImageDetIter and how to use im2rec for COCO DataSet

Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.

Neural Style and MSG-Net

Русскоязычный чатбот

Ranking made easy

Multi-Task Deep Neural Networks for Natural Language Understanding

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

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

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合

The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.

Materials for deep NLP course

Tracking the progress in non-autoregressive generation (translation, transcription, etc.)

A two-level morphological analyzer for Turkish.

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

A collection of Natural language processing pre-trained models.