jorgeuliana1

Jorge Uliana's starred repositories

diffusion-classifier

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

Language:Python37700

dift

[NeurIPS'23] Emergent Correspondence from Image Diffusion

Language:PythonMIT55900

HIBASkinLesionsDataset

Exploratory data analysis of the Hospital Italiano de Buenos Aires Skin Lesions dataset shared through the ISIC Archive. The dataset is available at https://doi.org/10.34970/432362

Language:Jupyter NotebookMIT1200

CARD

Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"

Language:Python19800

diffssl

Code for the paper "Do text-free diffusion models learn discriminative visual representations?"

Language:PythonMIT1500

DiffMIC

[MICCAI 2023] DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

Language:Python13100

imgaug

Image augmentation for machine learning experiments.

Language:PythonMIT1400

ml-engineering

Machine Learning Engineering Open Book

Language:PythonCC-BY-SA-4.01032200

raug

Raug is a complete pipeline to train deep neural models using Pytorch

Language:PythonMIT1100

IM_ComplementaryData_OralLeukoplakia

Official repository for code from the paper "On the importance of complementary data to histopathological image analysis of oral leukoplakia and carcinoma using deep neural networks".

Language:Python200

BRACIS2022-Exploring-Advances-for-SLD

Official implementation of our 2022 BRACIS Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets by Leandro M. de Lima and Renato A. Krohling. DOI: https://doi.org/10.1007/978-3-031-21689-3_21

Language:Jupyter Notebook200