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applied-deep-learning

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amacaluso / Machine-Learning-for-particle-discrimination

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This project contains the code to perform a task of Particle identification (PID) in Astrophysics, comparing Deep Learning and Classical Machine Learning approaches. Data are provided by Agile team (http://agile.rm.iasf.cnr.it/) and the goal of the analysis is to provide a Statistical model which is able to distinguish gamma-ray photon for backg…

gamma-ray-astronomy applied-statistics particle-identification applied-machine-learning applied-deep-learning
  • Updated Jul 17, 2020
  • Python

Suvamp / stock-sentiment-lstm

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LSTM and NLP pipeline predicting next-day stock price direction from financial news sentiment. Compares baseline, GloVe-embedded, and stacked LSTM architectures on the Financial PhraseBank dataset, with transparent reporting of near-random results and the experimental design lessons behind them.

python data-science machine-learning natural-language-processing deep-learning sentiment-analysis text-classification reproducible-research tensorflow keras recurrent-neural-networks lstm quantitative-finance bidirectional-lstm stock-market-prediction glove-embeddings applied-deep-learning financial-nlp
  • Updated Jul 13, 2026
  • Jupyter Notebook

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