876 Open source projects that are alternatives of or similar to Keras Textclassification

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

R wrapper for fastText

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Implementation of State-of-the-art Text Classification Models in Pytorch

A Benchmark of Text Classification in PyTorch

all kinds of text classification models and more with deep learning

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

finalfusion embeddings in Rust

All kinds of neural text classifiers implemented by Keras

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Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

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

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

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

Data augmentation for NLP, presented at EMNLP 2019

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

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PyTorch repository for text categorization and NER experiments in Turkish and English.

FastText for Node.js

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

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

All NLP you Need Here. 个人实现了一些好玩的NLP demo，目前包含13个NLP应用的pytorch实现

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Library for fast text representation and extreme classification.

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

Text Classification in Turkish Texts with Bert

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

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Embedding模型代码和学习笔记总结

Nodejs binding for fasttext representation and classification.

all kinds of baseline models for long text classificaiton( text categorization)

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

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

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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.

A fast, efficient universal vector embedding utility package.

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

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

BERT for Multitask Learning

Compute Sentence Embeddings Fast!

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

A data set and model for german sentiment classification.

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Fast word vectors with little memory usage in Python

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

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

[DEPRECATED] Vietnamese Handwriting Recognition with CRNN and CTC Loss

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Trax — Deep Learning with Clear Code and Speed

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

📖 The library for creating book and card flip animations in ViewPager in Android

Text classification using deep learning models in Pytorch

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

Implementation of papers for text classification task on DBpedia

📈 Find your fasttext hyperparameters quickly and easily.

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

Repository for ODSC talk related to Deep Learning NLP

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