This project aim to understad if a deep learning model is calibrated (average accuracy match average confident) using Reliability Diagram and perform a re-calibration by the training with Focal Loss.
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Updated
Feb 21, 2023 - Jupyter Notebook
This project aim to understad if a deep learning model is calibrated (average accuracy match average confident) using Reliability Diagram and perform a re-calibration by the training with Focal Loss.
A repository containing the deep learning-based geomagnetic storm forecasting model development codes
Code for my Bachelor's thesis "Drone image and video encoding and processing using machine learning"
Conformal Off-policy Prediction
A graphical user interface (GUI) and web application to facilitate the usage of ENS-Score.
Machine Learning Assignment
This repository contains jupyter notebooks providing an implementation of basic Machine Learning models for regression and classification.
Conformal Bayesian Computation (CBC). This paper summarizes the theoretical foundings of the CBC, as well as it applies to 2 use-cases: classification and regression.
Conformal Bayesian Computation with Stan and Numba.
Code for "Towards Human-AI Complementarity with Predictions Sets", arXiv 2024
"Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets" presented at MICCAI 2022
Machine Learning with uncertainty quantification and interpretability
A serverless function is utilized to evaluate the divergence of a particular output from the established log-likelihood set by a language model. This function is designed to compute the log-likelihood per message. Subsequently, p-values are generated and used as a prediction interval to categorize, appropriately append, and sort LLM output
Pneumonia classification as a service
Implementation for our paper "Metric-guided Image Reconstruction Bounds via Conformal Prediction".
Conformal Predictions using photonai
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