Joao P C Bertoldo's Projects
My personal collection of claimed results from the litterature in anomaly detection benchmarks.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development
The Combined Anomalous Object Segmentation (CAOS) Benchmark
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535
Repository for the Explainable Deep One-Class Classification paper
Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models
Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020
Joao & Oskar's HistWords project.
Overleaf project for jokar's project description deliverable.
Overleaf project for jokar's report.
École des Mines de Paris - MINES ParisTech
Project of a coffee machine connected to the internet.
Python implementation of Mining Data Records.
Project report for the implementation of Mining Data Records (MDR) in Python
SciPy library main repository
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Syntactic search tool to explore and retrieve information from time series
My internship project at CENTRE DES MATÉRIAUX of MINES ParisTech PSL University.
Machine learning metrics for distributed, scalable PyTorch applications.
Datasets, Transforms and Models specific to Computer Vision
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."