1333 Open source projects that are alternatives of or similar to Text_classification

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

Text classifier for Hierarchical Attention Networks for Document Classification

R wrapper for fastText

RMDL: Random Multimodel Deep Learning for Classification

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

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Object classification with CIFAR-10 using transfer learning

The Pytorch Implementation of L-Softmax

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

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Deep-Learning Model Exploration and Development for NLP

Text classification meets word embeddings.

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

Skin cancer classification using Inceptionv3

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

Handwritten Digit Recognition using Machine Learning and Deep Learning

3D image classification using CNN (Convolutional Neural Network)

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

Using pre trained word embeddings (Fasttext, Word2Vec)

An original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)

Drug effect prediction using neural network

Tensorflow2.3的文本分类项目，支持各种分类模型，支持相关tricks。

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

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

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Data augmentation for NLP, presented at EMNLP 2019

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Telegram Data Clustering contest solution by Mindful Squirrel

Fake News Detection in Python

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

Awesome-Text-Classification Projects,Papers,Tutorial .

Implementation of papers for text classification task on SST-1/SST-2

Relation Classification - SEMEVAL 2010 task 8 dataset

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

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

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

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The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Library for fast text representation and extreme classification.

Nodejs binding for fasttext representation and classification.

Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

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

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

A Structured Self-attentive Sentence Embedding

food image to recipe with deep convolutional neural networks.

CNN-RNN中文文本分类，基于TensorFlow

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

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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

Unofficial PyTorch Reimplementation of RandAugment.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.