H.IAAC
Hub of Artificial Intelligence and Cognitive Architectures - University of Campinas (UNICAMP)
Brazil
Pinned Repositories
BehaviorTrees
Unity implementation of basic behavior trees and extensions such as utility and external trees.
Cognitive-Architectures-INF-0069
collect_apk
Application for data collection
d3vis_ipynb
DAGHAR
flower
Flower - A Friendly Federated Learning Framework
Godot-Implementation
meetups
Materiais dos meetups do Hub de Inteligência Artificial e Arquiteturas Cognitivas
mindviewer-web
MindViewer Web Edition
ML-HAR
Meta-Learning HAR
H.IAAC's Repositories
H-IAAC/collect_apk
Application for data collection
H-IAAC/BehaviorTrees
Unity implementation of basic behavior trees and extensions such as utility and external trees.
H-IAAC/Cognitive-Architectures-INF-0069
H-IAAC/d3vis_ipynb
H-IAAC/DAGHAR
H-IAAC/mindviewer-web
MindViewer Web Edition
H-IAAC/ML-HAR
Meta-Learning HAR
H-IAAC/CST-Python
Python module of the CST, the Cognitive Systems Toolkit
H-IAAC/CST-RL
H-IAAC/CSTCollector
H-IAAC/custom_ipywidgets
Custom widgets for Data Science visualisation.
H-IAAC/episodic-memory
Episodic memory developed using CST based on Cuayollotl-memory Bio-Inspired Implementation of Declarative Working Memory
H-IAAC/EpisodicMemoryAgent
H-IAAC/Gen_AI_4_1
H-IAAC/META2
Código referentes a Aprendizado Contínuo em HAR
H-IAAC/translate-dataset
H-IAAC/viewer_tool_jupyter
H-IAAC/CPC-HAR
H-IAAC/ELD_GEN_EVAL
H-IAAC/federated_test_server
Server used to remotely configure android app parameters during the Federated Test execution.
H-IAAC/KnowledgeRepresentation
H.IAAC Knowledge Representation public information
H-IAAC/KR-Papers-Artifacts
H.IAAC Knowledge Representation papers artifacts
H-IAAC/M4-Framework-Experiments
H-IAAC/pytorch-probing
Python module for creating and using probes with PyTorch modules.
H-IAAC/sensor-toolkit
Toolkit to help getting sensor's data from Android devices
H-IAAC/TFC-HAR
H-IAAC/TNC-HAR
H-IAAC/user_simulator
H-IAAC/viewer_tool
H-IAAC/XAI-HAR
The repository contains the experiments developed using LIME and SHAP for HAR from the Knowledge Representantion Learning team.