Caixabank Data AI Hackathon submission Permalink
Data Wrangling, XGBoost fraud detection model, LSTM expense forecasting with PyTorch, and an AI agent using Langchain and a locally hosted llama model for PD...
Data Wrangling, XGBoost fraud detection model, LSTM expense forecasting with PyTorch, and an AI agent using Langchain and a locally hosted llama model for PD...
Explore the journey of deploying machine learning models from local environments to cloud platforms.
Pytorch models for RSNA ATD AI Challenge, together with preprocessing using Pytorch and Monai for data loading and augmentations of volumentric data.
In today’s digital age, maintaining a personal journal has evolved from the traditional pen-and-paper approach to digital solutions that offer convenience an...
A webapp built with streamlit, with cockroachDB (postgreSQL).
A PID arduino controller for a peltier for temperature precise control.
Accepted pull request for a major feature proposal for the python package metric-learn.
This work was part of the final project for IPD423 - Advanced Digital Signal Processing. It consists of the classification of urban sounds, utilizing data au...
Stock market prediction using a GAN with an LSTM as generator and a FNN as discriminator. At inference the generator is used as a predictor.
Data Wrangling, XGBoost fraud detection model, LSTM expense forecasting with PyTorch, and an AI agent using Langchain and a locally hosted llama model for PD...
Pytorch models for RSNA ATD AI Challenge, together with preprocessing using Pytorch and Monai for data loading and augmentations of volumentric data.
A webapp built with streamlit, with cockroachDB (postgreSQL).
A PID arduino controller for a peltier for temperature precise control.
Accepted pull request for a major feature proposal for the python package metric-learn.
This work was part of the final project for IPD423 - Advanced Digital Signal Processing. It consists of the classification of urban sounds, utilizing data au...
Stock market prediction using a GAN with an LSTM as generator and a FNN as discriminator. At inference the generator is used as a predictor.
Journal paper presenting an unsupervised approach for obtaining the spectral positions of spectrally-overlapped fiber Bragg gratings with experimental valida...
Conference paper presenting an unsupervised approach for obtaining the spectral positions of spectrally-overlapped fiber Bragg grattings (a type of fiber opt...
Explore the journey of deploying machine learning models from local environments to cloud platforms.
In today’s digital age, maintaining a personal journal has evolved from the traditional pen-and-paper approach to digital solutions that offer convenience an...