659 Open source projects that are alternatives of or similar to Id Nlp Resource

R package for Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing Based on the UDPipe Natural Language Processing Toolkit

Python library for Natural Language Preprocessing (NLPre)

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Repository for paper "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Default English stopword lists from many different sources

SLING - A natural language frame semantics parser

A frame-semantic parsing system based on a softmax-margin SegRNN.

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

Important paper implementations for Question Answering using PyTorch

Web scrapping and related analytics using Python tools

Paper list of NLP for recommender systems

top 1% solution to toxic comment classification challenge on Kaggle.

This is a JSON driven angular x based dashboard framework that is inspired by JIRA's dashboard implementation and https://github.com/raulgomis/angular-dashboard-framework

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

My (slightly modified) Keras implementation of the Recurrent Convolutional Neural Network (RCNN) described here: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9745.

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

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

📅🇨🇳 中国法定节假日数据 自动每日抓取国务院公告

My completed implementation solutions for CS224N 2019

Python wrapper for evaluating summarization quality by ROUGE package

Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.

⚡️A Lightweight NLP Data Loader for All Deep Learning Frameworks in Python

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

R package providing annotators and a normalized data model for natural language processing

🐍 Turkish Language Stemmer for Python

A dialogue bot for information access

A news recommendation system tailored for user communities

Julia Implementation of Transformer models

Library to scrape and clean web pages to create massive datasets.

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Browse Covid-19 & SARS-CoV-2 Scientific Papers with Transformers 🦠 📖

Attention-based multimodal fusion for sentiment analysis

A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

Basic Utilities for PyTorch Natural Language Processing (NLP)

State of the Art Natural Language Processing

Mishkal is an arabic text vocalization software

Collection of software components for natural language processing (NLP) based on the Apache UIMA framework.

Topic Modelling for Humans

A privacy preserving NLP framework

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Cookiecutter API for creating Custom Skills for Azure Search using Python and Docker

PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning

Vietnamese NLP Toolkit for Node

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].

a sklearn wrapper for Google's BERT model

How to build RNNs and LSTMs from scratch with NumPy.

Collection of stats, modeling, and data science tools in Python and R.

基于深度学习的自然语言处理库

Entity linking framework

Data and software for building the ACL Anthology.

Global-Locally Self-Attentive Dialogue State Tracker

Test your HN title against a neural network

This repository contains various ways to calculate sentence vector similarity using NLP models

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

Text vectorization tool to outperform TFIDF for classification tasks