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#

nlp-models

Here are 31 public repositories matching this topic...

InterpretDL: Interpretation of Deep Learning Models,基于『飞桨』的模型可解释性算法库。

  • UpdatedSep 4, 2024
  • Python

reflect's backend - determine intent validity

  • UpdatedAug 2, 2024
  • Python

Machine learning model library implementing Nix ideas for configuration management

  • UpdatedSep 12, 2020
  • Python

An API developed by using the FastAPI library and uses an NLP model to classify the category of the news in the Swahili language.

  • UpdatedMar 1, 2022
  • Python

Python based API server for GPT4ALL with Watchdog

  • UpdatedJul 2, 2023
  • Python

Classify real disaster tweets using different sequence models like LSTM, Bi-directional LSTM with attention, and transformers (BERT) with best accuracy of 84%

  • UpdatedJan 23, 2021
  • Python

Dive into the world of Word2Vec and Doc2Vec models to uncover insights and applications.

  • UpdatedMar 19, 2024
  • Jupyter Notebook

llama2-model-downloader is a Python script for effortless and flexible downloading of various Llama2 models from a provided preassigned URL.

  • UpdatedAug 1, 2023
  • Python

Xandly5 is a lyrics generator powered by Natural Language Processing using the Keras and TensorFlow frameworks.

  • UpdatedSep 15, 2023
  • Python

VortexAI-Persian is an advanced Persian NLP framework utilizing deep learning models like LSTM, transformers, and attention mechanisms. It supports tasks such as text generation, sentiment analysis, and question answering. Featuring tokenization, embeddings, and continuous learning for improved model performance.

  • UpdatedNov 26, 2024
  • Python

Stock watcher app using ML and NLP models to explain stock market movements with news headlines.

  • UpdatedNov 9, 2024
  • C

The project involves building a chatbot using BERT LLM to assist users with inquiries related to the German Embassy, providing automated responses based on specific queries. It focuses on implementing natural language understanding for enhanced user interactions.

  • UpdatedFeb 13, 2025
  • Jupyter Notebook

Sentiment Analysis using NLP involves analyzing text data to determine the sentiment expressed, such as positive, negative, or neutral. It leverages techniques like tokenization, vectorization, and machine learning models to classify text sentiment.

  • UpdatedFeb 13, 2025
  • Jupyter Notebook

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