1689 Open source projects that are alternatives of or similar to Text Classification Models Pytorch

Deep-Learning Model Exploration and Development for NLP

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

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

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Multi-turn dialogue baselines written in PyTorch

all kinds of text classification models and more with deep learning

RMDL: Random Multimodel Deep Learning for Classification

Embedding模型代码和学习笔记总结

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

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

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

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

A PyTorch Implementation of "Attention Is All You Need"

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

End-to-end ASR/LM implementation with PyTorch

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.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Sequence to Sequence Models in PyTorch

seq2seq attention tensorflow textrank context

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

A data set and model for german sentiment classification.

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

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

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

TensorFlow Implementation of Twitter Chatbot

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

Anomaly detection implemented in Keras

3D image classification using CNN (Convolutional Neural Network)

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

Gathers Tensorflow deep learning models.

Predict materials properties using only the composition information!

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

nlp lecture-notes and source code

Rank 1 / 216

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Unofficial PyTorch Reimplementation of RandAugment.

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

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

NLP: Relation extraction with position-aware self-attention transformer

This is an open sourced book on deep learning.

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

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

An implementation of attention-based neural machine translation using Pytorch

Deep Learning using Rectified Linear Units (ReLU)

Neutron: A pytorch based implementation of Transformer and its variants.

TensorFlow implementation of 'Attention Is All You Need (2017. 6)'

Molecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

a collection of visualization function

PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇

A Keras library for multi-step time-series forecasting.

Summary of Transformer applications for computer vision tasks.

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq