1164 Open source projects that are alternatives of or similar to Shallowlearn

Tools for shrinking fastText models (in gensim format)

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Association Rule Mining from Spatial Data for Crime Analysis

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

Web-ify your word2vec: framework to serve distributional semantic models online

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Embedding模型代码和学习笔记总结

Implementação e modelo gerado com o treinamento (trigram) da wikipedia em pt-br

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

A word2vec port for Windows.

Automatic paper clustering and search tool by fastext from Facebook Research

Java interface for fastText

Sarcasm Detection for Sentiment Analysis

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

【微信公众号：大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384851 Python网络爬虫快速入门https://www.bilibili.com/video/av72010301, 我的联系邮箱[email protected]

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

Nodejs binding for fasttext representation and classification.

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Resources for learning about Text Mining and Natural Language Processing

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

🗣️ Tool to generate adversarial text examples and test machine learning models against them

中文詞向量訓練教學

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

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

Arabic support for textblob

Python implementation of bag-of-concepts

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.

A practical guide to topic mining and interactive visualizations

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

基于Pytorch和torchtext的自然语言处理深度学习框架。

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

finalfusion embeddings in Rust

All about Neural Networks!

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

Repo for Applied Text Mining in Python (coursera) by University of Michigan

A Python interface for Facebook fastText

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

utils to use word embedding like word2vec vectors in a postgres database

Python Framework for Extractive Text Summarization

Dict2vec is a framework to learn word embeddings using lexical dictionaries.

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

Kadot, the unsupervised natural language processing library.

IPython widgets, interactive plots, interactive machine learning

The reference implementation of "Multi-scale Attributed Node Embedding".

兜哥出品 <一本开源的NLP入门书籍>

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

dna2vec: Consistent vector representations of variable-length k-mers

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

Benchmarks for intrinsic word embeddings evaluation.

Arabic Word Embeddings Word2vec

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

🦆 Contextually-keyed word vectors

Awesome-Text-Classification Projects,Papers,Tutorial .