Pinned Repositories
hiaac-librep
Tutorial
alibi
Algorithms for explaining machine learning models
DeepExplain
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
IHAR
lime
Lime: Explaining the predictions of any machine learning classifier
pytorch-CAM
Class Activation Mapping written in PyTorch.
pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
shap
A game theoretic approach to explain the output of any machine learning model.
alvespatrick's Repositories
alvespatrick/santander-dev-week-2024
API do Santander Dev Week 2024 construída em Java 21 com Spring Boot 3.
alvespatrick/LH_CD_Patrick_Alves
alvespatrick/alvespatrick
alvespatrick/30-Days-Of-Data
Notebooks corresponding to The Almost Astrophysicist's YouTube Channel. [https://www.youtube.com/thealmostastrophysicist]
alvespatrick/explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
alvespatrick/xai-experiments
alvespatrick/Atividades-Academicas
Repositório para armazenar solução de exercícios resolvidos durante a vida acadêmica.
alvespatrick/Tutorial
alvespatrick/grad-cam
[ICCV 2017] Torch code for Grad-CAM
alvespatrick/mo833-lammps
Public development project of the LAMMPS MD software package
alvespatrick/alibi
Algorithms for explaining machine learning models
alvespatrick/tslearn
A machine learning toolkit dedicated to time-series data
alvespatrick/Distributed-DCGAN
alvespatrick/gromacs-mo833a
alvespatrick/shap
A game theoretic approach to explain the output of any machine learning model.
alvespatrick/pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
alvespatrick/PI-HPC-Bench
alvespatrick/lime
Lime: Explaining the predictions of any machine learning classifier
alvespatrick/GradCAM_and_GuidedGradCAM_tf2
Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x
alvespatrick/IHAR
alvespatrick/scipy2021
Data Visualization as the First and Last Mile of Data Science: Plotly Express and Dash
alvespatrick/TS_AgnosticLocalExplainer
alvespatrick/DeepExplain
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
alvespatrick/pytorch-CAM
Class Activation Mapping written in PyTorch.