Joao P C Bertoldo's repositories
anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
anomasota
ANOMAly detection State-Of-The-Art
jokar
Joao & Oskar's HistWords project.
minlight
École des Mines de Paris - MINES ParisTech
ad-scores
My personal collection of claimed results from the litterature in anomaly detection benchmarks.
anomaly-detection-in-histology
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development
anomaly-seg
The Combined Anomalous Object Segmentation (CAOS) Benchmark
cd-diagram
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
EfficientAD_nelson1425
Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535
fcdd
Repository for the Explainable Deep One-Class Classification paper
FITYMI
Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models
gaussian-ad-mvtec
Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020
jokar-project-report
Overleaf project for jokar's report.
pymdr-project-report
Project report for the implementation of Mining Data Records (MDR) in Python
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
scipy
SciPy library main repository
score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
SyntacticSearchOnTimeSeries
Syntactic search tool to explore and retrieve information from time series
torchmetrics
Machine learning metrics for distributed, scalable PyTorch applications.
torchvision
Datasets, Transforms and Models specific to Computer Vision
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."