439 Open source projects that are alternatives of or similar to Nuts

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 Japanese tokenizer based on recurrent neural networks

A python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.

👄 The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike

Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

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

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

package lingo provides the data structures and algorithms required for natural language processing

a Fairseq fork for sequence tagging/labeling tasks

Projects and useful articles / links

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.

Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.

The Entire Transcript from the Office in Tidy Format

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

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

A Python library to conjugate verbs in French, English, Spanish, Italian, Portuguese and Romanian (more soon) using Machine Learning techniques.

Pytorch NLP library based on FastAI

An Open-Source Framework for Prompt-Learning.

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

Natural Language Processing with TensorFlow, published by Packt

Automated NLP sentiment predictions- batteries included, or use your own data

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

Source code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"

Natural language understanding library for chatbots with intent recognition and entity extraction.

Neural machine translation implementation using dynet's python bindings

WIP - A personal life helper providing solutions and happiness

Benchmark Arabic text diacritization dataset

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"

No description or website provided.

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language

Uses Apache Lucene, OpenNLP and geonames and extracts locations from text and geocodes them.

This repository contains a new adversarial training method for Generative Conversational Agents

Hu:toma AI is an open source stack designed to help you create compelling conversational interfaces with little effort and above industry accuracy

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

kbqa task-oriented qa seq2seq ir neo4j jena seq2seq tf chatbot chat

Intelligent Word Embeddings of Free-Text Radiology Reports

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

A PyTorch Implementation of "Attention Is All You Need"

BERT-BiLSTM-CRF的Keras版实现

NLP Classification Workshop

Simple keras chat bot using seq2seq model with Flask serving web

AQMAR Arabic Tagger: Sequence tagger with cost-augmented structured perceptron training

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.

👄 The most accurate natural language detection library for Go, suitable for long and short text alike

A minimal nmt example to serve as an seq2seq+attention reference.

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

An implementation of transformer-based language model for sentence rewriting tasks such as summarization, simplification, and grammatical error correction.

My GitHub blog: things you might be interested, and probably not...

Question Answering System using BiDAF Model on SQuAD v2.0

An open information extraction system that provides compact extractions

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Грамматический Словарь Русского Языка (+ английский, японский, etc)

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in languages other than English

Chinese word segmentation in tensorflow 2.x