588 Open source projects that are alternatives of or similar to A Pytorch Tutorial To Text Classification

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

all kinds of text classification models and more with deep learning

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

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

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

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

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

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

Text classifier for Hierarchical Attention Networks for Document Classification

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

TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

Important paper implementations for Question Answering using PyTorch

transform multi-label classification as sentence pair task, with more training data and information

Some example scripts on pytorch

"20 Newsgroups" text classification with python

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Attention-based multimodal fusion for sentiment analysis

[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

A web app to create and browse text visualizations for automated customer listening.

Pytorch deep learning face frontalization model

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

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Awesome-Text-Classification Projects,Papers,Tutorial .

对收集的法律文档进行一系列分析，包括根据规范自动切分、案件相似度计算、案件聚类、法律条文推荐等（试验目前基于婚姻类案件，可扩展至其它领域）。

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

验证码识别

Hierarchical Attentive Recurrent Tracking

A text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence similarity,word sentiment tendency, name recognition, idiom recognition, placename recognition, organization recognition, traditional chinese recognition, pinyin transform.

Fully featured implementation of Routing Transformer

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.

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

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

UDA(Unsupervised Data Augmentation) implemented by pytorch

State of the Art Natural Language Processing

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

Chinese Poetry Generation

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

This is code of book "Learn Deep Learning with PyTorch"

基于Transformers的文本分类

export bert model for serving

Deep-Learning based CTR models implemented by PyTorch

attention-based LSTM/Dense implemented by Keras

Implementation of Very Deep Convolutional Neural Network for Text Classification

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Attention-guided CNN for image denoising(Neural Networks,2020)

Educational material on using the TensorFlow Estimator framework for text classification

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch

A unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.