use an AI model to write couplet with TensorFlow 2 / 用AI对对联
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Updated
Jul 20, 2020 - Python
use an AI model to write couplet with TensorFlow 2 / 用AI对对联
This repository houses a collection of my natural language processing (NLP) projects, showcasing a variety of applications and experiments in the field. From sentiment analysis to language modeling, explore the power of NLP through my code. Feel free to use, modify, and contribute!
Collection of Natural Language Processing and Machine Learning implementations focusing on: Information Retrieval & RAG Systems LLM Fine-tuning Feature Engineering Neural Architecture Components (Encoders, Decoders, Attention) Sequence-to-Sequence Applications
Sequence to sequence encoder-decoder model with Attention for Neural Machine Translation
NMT encoder-decoder model with attention for vietnamese to english
Natural Language Processing(NLP) with Deep Learning in Keras . Course offered by Udemy . Created and taught by Carlos Quiros .
Natural Language Processing
Implementation of an Attention-based LSTM Encoder-Decoder Approach for Abstractive Text Summarization
Neural Network and NLP project
This repo contains the code for summarizing financial reports with increased factual correctness for quantitative researchers.
Part of the assignment from the Neural Network and NLP module
Machine Learning Trained Chinese Couplets / 用AI对对联
Add a description, image, and links to the encoder-decoder-attention topic page so that developers can more easily learn about it.
To associate your repository with the encoder-decoder-attention topic, visit your repo's landing page and select "manage topics."