中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

Named Entity Recognition (LSTM + CRF) - Tensorflow

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

中文自然语言的实体抽取和意图识别（Natural Language Understanding），可选Bi-LSTM + CRF 或者 IDCNN + CRF

文本分类， 双向lstm + attention 算法

2BiVQA is a no-reference deep learning based video quality assessment metric.

Official repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700

handwritten word recognition with IAM dataset using CNN-Bi-LSTM and Bi-GRU implementation.

Keras implementation of path-based link prediction model for knowledge graph completion

See http://github.com/onurgu/joint-ner-and-md-tagger This repository is basically a Bi-LSTM based sequence tagger in both Tensorflow and Dynet which can utilize several sources of information about each word unit like word embeddings, character based embeddings and morphological tags from an FST to obtain the representation for that specific word unit.

Key Information Extraction from Scanned Receipts: The aim of this project is to extract texts of a number of key fields from given receipts, and save the texts for each receipt image in a JSON file.

Sleep stage classification using BCG-based pressure signals and residual-biLSTM networks

Named Entity Recognition with Bidirectional LSTM-CNNs

Phrase Extraction using Bi Directional LSTM

doctor_prescription_recognization_using_DeepLearning project for epics

Implementation of sentence comparison model using inner attention

Automated Sleep Stage Scoring using Deep Learing

To build an AI-based classifier model to assign the tickets to right functional groups by analyzing the given description

Authorship Identification for Reuters C50-50 dataset. Comparision between LSTM, GRU, Bi-LSTM models and also highlights use of 50 different stylometry features for classification.

This is repository code of paper "Enhancing Multi-Output Time Series Forecasting with Encoder-Decoder Networks"

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Implement RNNs by PyTorch for automatic POS tagging

Two neural networks to detect weapons and violence in videos

PredictBay is an innovative project that aims to revolutionize decision-making in investment strategies through intelligent forecasting. Our platform utilizes advanced machine learning algorithms to provide accurate predictions for stocks from all over the world.

Apply EfficientNet-B4 and Bi-LSTM to classify images based on image information and caption into multiple labels.

Semantic Enrichment, Data Augmentation and Deep Learning for Boosting Invoice Text Classification Performance: A Novel Natural Language Processing Strategy

Fully Connected Neural Networks, Multilayer Neural Networks, MAdaline, CNNs, Segmentation, Detection, RNNs, CNN-LSTM, LSTM, Bi-LSTM, GRU, Transformers, Huber Loss, ViT, DGMs, Triplet VAE, AdvGAN, Image Caption Generation, attention, LLM Fine-Tuning, Soft Prompting, LoRA, Layer Freezing, SlimOrca

Official code for FAME: A lightweight spatio-temporal framework for Deepfake Model Attribution using VGG-based feature extraction and temporal attention. Outperforms prior methods across DFDM, FF++, and FakeAVCeleb datasets.

Bi-LSTM with Attention performs sentence-level sentiment classification on Stanford Sentiment Treebank dataset .

Toxic Comment Classification using LSTM and Bi-LSTM