bilstm-attention 开源项目推荐（28 个）

buppt /ChineseNRE

中文实体关系抽取，pytorch，bilstm+attention

jasoncao11 /nlp-notebook

NLP 领域常见任务的实现，包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。

kaiyinzhou /NLPGNN

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

Renovamen /Text-Classification

一些文本分类模型的PyTorch实现（HAN、fastText、BiLSTM-Attention、TextCNN、Transformer）| 文本分类

YJiangcm /SST-2-sentiment-analysis

Use BiLSTM_attention, BERT, ALBERT, RoBERTa, XLNet model to classify the SST-2 data set based on pytorch

Doragd /Text-Classification-PyTorch

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

yaokui2018 /SentimentAnalysis

中文情感分类 | 基于三分类的文本情感分析

MirunaPislar /multi-head-attention-labeller

Joint text classification on multiple levels with multiple labels, using a multi-head attention mechanism to wire two prediction tasks together.

Abrar2652 /nlp-roBERTa-biLSTM-attention

An NLP research project utilizing the "cardiffnlp/twitter-roberta-base-sentiment-latest" pre-trained transformer for tweet tokenization. The project includes an attention-based biLSTM model that predicts sentiment labels for tweets as negative (-1), neutral (0), or positive (1).

yash1th-yerra /Network-Intrusion-Detection-System

The design and implementation of an advanced BiLSTM-based model integrated with an attention mechanism for network intrusion detection using the NSL-KDD dataset.

MsTao-68 /2022-COMAP-C-DL

# 2022 COMAP Problem C chosen (Bitcoin and Gold Quant Trading

abhilash1910 /MiniClassifier

Deep Learning Library for Text Classification.

deivanand /Next-Word-Prediction

This project features a Next Word Prediction Model deployed via a FLASK API, implemented using a Bi-LSTM model with an attention layer.

gallipoligiuseppe /SentiModel

Explainable Sentence-Level Sentiment Analysis – Final project for "Deep Natural Language Processing" course @ PoliTO

houzhaohan /Analysis-of-Martingale-Strategy-in-Quantitative-Trading-Market-Based-on-BiLSTM-Attention-Model

Analysis of Martingale Strategy in Quantitative Trading Market Based on BiLSTM-Attention Model 基于BiLSTM-Attention模型的马丁策略在量化交易市场的分析

karnikkanojia /SMS-Spam-API

Deep Learning based end-to-end solution for detecting fraudulent and spam messages across all your devices

Ragavendra0604 /Network_Intrusion_Detection_using_RNN_and_BILSTM

This is a Deep Learning-based Intrusion Detection System (IDS) designed to detect and classify network cyberattacks in real-time using advanced neural network architectures. The project implements and compares multiple recurrent neural networks—including RNN, BiLSTM, BiLSTM with Attention mechanisms, and Temporal Convolutional Networks (TCN)

Udaykiran2001-t /phishing-detection-bilstm-attention

Phishing URL detection using BiLSTM with Attention Mechanism

ZhiyuZhang803 /NLP_Fake_News_Detection

This repo contains all files needed to train and select NLP models for fake news detection

alexzilligmm /time-series-forecasting

This folder implements our solution for the Enefit challenge.