4 projects for "sentiment" with 2 filters applied:

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

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    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 1
    Amazing-Python-Scripts

    Amazing-Python-Scripts

    Curated collection of Amazing Python scripts

    ...The repository encourages community contributions, allowing developers to add their own scripts and improve existing ones through pull requests. Examples include scripts for sentiment analysis, data scraping, web automation, log analysis, and interactive applications such as games or voice-controlled tools. The project also provides contribution guidelines and documentation so that developers can easily collaborate and expand the collection of scripts.
    Downloads: 1 This Week
    Last Update:
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  • 2
    Quantitative Trading System

    Quantitative Trading System

    A comprehensive quantitative trading system with AI-powered analysis

    Quantitative Trading System is a comprehensive quantitative trading platform that integrates artificial intelligence, financial data analysis, and automated strategy execution within a unified software system. The project is designed to provide an end-to-end infrastructure for building and operating algorithmic trading strategies in financial markets. It includes tools for collecting and processing market data from multiple sources, performing statistical and machine learning analysis, and...
    Downloads: 4 This Week
    Last Update:
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  • 3
    NLP-Models-Tensorflow

    NLP-Models-Tensorflow

    Gathers machine learning and Tensorflow deep learning models for NLP

    ...The repository provides numerous examples of neural network architectures used in modern NLP research and applications, including text classification, language modeling, machine translation, and sentiment analysis. Each model implementation is designed to illustrate how common NLP architectures operate, such as recurrent neural networks, convolutional models for text processing, and transformer-style attention mechanisms. The project includes scripts for preparing datasets, training models, and evaluating performance on various text analysis tasks. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    bulbea

    bulbea

    Deep Learning based Python Library for Stock Market Prediction

    ...It includes utilities for splitting datasets, normalizing time series, and training models such as recurrent neural networks that can capture temporal dependencies in market behavior. The library also incorporates sentiment analysis capabilities that analyze social media data, particularly from Twitter, to estimate public sentiment toward financial assets.
    Downloads: 0 This Week
    Last Update:
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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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