385 Open source projects that are alternatives of or similar to Browsecloud

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

DELTA is a deep learning based natural language and speech processing platform.

text-classifier is a toolkit for text classification. It was developed to facilitate the designing, comparing, and sharing of text classification models.

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

Expands texts as you type, naturally

Text Mining and Topic Modeling Toolkit for Python with parallel processing power

🚀 Search & replace URLs in WordPress SQL files.

Binary Processing Language

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

搜索所有中文NLP数据集，附常用英文NLP数据集

📚 Text classification library with Keras

An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines

All kinds of neural text classifiers implemented by Keras

Stanford NLP group's shared Python tools.

Python library for creating PEG parsers

Your Advanced Twitter stalking tool

An idiomatic and fast QP-trie implementation in pure Rust.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

CNN for intent classification task in a Chatbot

TextCNN by TensorFlow 2.0.0 ( tf.keras mainly ).

Educational material on using the TensorFlow Estimator framework for text classification

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Natural Language Processing Best Practices & Examples

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

A collection of Natural language processing pre-trained models.

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

Nostril: Nonsense String Evaluator

Graph Convolutional Networks for Text Classification. AAAI 2019

Official Python client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Python apps.

Predict the author's gender from their text.

A NodeJS implementation of the Rapid Automatic Keyword Extraction algorithm.

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

Unix Text Processing Command Reference

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

Text Expression Runner – Readable and easy to use text expressions

A Modern C++ Data Sciences Toolkit

🌿 An easy-to-use Japanese Text Processing tool, which makes it possible to switch tokenizers with small changes of code.

🔤 Lightweight R package for manipulating [string] characters

Official Ruby client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Ruby apps.

Hatena Notation (はてな記法) Parser written in Go

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

ATEC 金融大脑-金融智能NLP服务

Tensorflow implementation of attention mechanism for text classification tasks.

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Text classification using deep learning models in Pytorch

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

🎯🗯 Generate datasets for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!

短文本聚类预处理模块 Short text cluster

A tool for learning vector representations of words and entities from Wikipedia

Character-level Convolutional Networks for Text Classification论文仿真实现

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

使用BERT模型做文本分类；面向工业用途

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool ``colibri-patternmodeller`` whi ch allows you to build, view, manipulate and query pattern models.

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.

Bert-classification and bert-dssm implementation with keras.

UDA(Unsupervised Data Augmentation) implemented by pytorch