Stars
Identifying out of distribution detection and study OOD detectors fairness in dermatology.
Bias Buccaneers Image Recognition Challenge
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Interpretability and explainability of data and machine learning models
tutorial on generative adversarial networks for SciPy 2020 conference
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
Python library for loading and using triangular meshes.
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
An open source framework for seq2seq models in PyTorch.
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
PyTorch implementations of Generative Adversarial Networks.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Pytorch implementation of convolutional neural network visualization techniques
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Fully Convolutional Refined Auto Encoding Generative Adversarial Networks for 3D Multi Object Scenes
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Bash script de instalación para ejecutar en ubuntu (16.04) para el Workshop en UTN FRD