Juan Huertas

LLM_Notebooks. Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases

QUANT. A comprehensive collection of quantitative finance research spanning classical trading strategies, deep learning models for price prediction, ensemble ML methods, and modern LLM-powered financial analysis.

RAG-Speak-with-your-Unstructured-Data. RAG demo with Langchain , Gemini and NVidia NIM Models

Health-Data-Anonymization. how to detect and protect information subject to privacy laws such as GDPR, PII, or HIPAA in the medical or healthcare environment. We'll mainly look at how to use Microsoft Presidio to anonymize DICOM images. We will also look at other tools in C# to work with DICOM and FHIR formatting.

Anomaly_detection. Anomaly detection Example LSTM example with Quantile Regression Keras

Time-Series. ARIMA EWMA ETS and others

TIME_SERIES_MODELING_KERAS. Deep Learning Time Series Forecasting

DotNet_ML. A comprehensive collection of 20+ Machine Learning, Computer Vision, NLP, and Generative AI projects — all in C# and .NET

Reinforcement-Learning. Jupyter Notebook

mlflow_pipelines. Python

NEO4J. NEO4J DataScience and ML

Survival-Analisys. Asset Failure Interface (AFI) project for survival prediction using a Deep Survival Neural Network (DSNN) with Cox proportional hazards concepts.

bull_sales. quantile Regression and Smogn