Popular GitHub Repositories for Integral

Nullspace MPC: A novel multi-objective control framework for explicitly handling task priorities, implemented in ROS Noetic for a Swerve Drive Robot.

[ICRA2024] Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles

Colab notebooks showcasing experiments on MPPI (model predictive path integral control) and CBF (control barrier function). Utilizes jax to accelerate computation.

Open Source Neural Architecture Search Toolbox for Device-aware Image Dense Prediction & Official implementation of ICCV2021 "iNAS: Integral NAS for Device-Aware Salient Object Detection"

The Poisson equation is an integral part of many physical phenomena, yet its computation is often time-consuming. This module presents an efficient method using physics-informed neural networks (PINNs) to rapidly solve arbitrary 2D Poisson problems.

This repository contains the code for the "Learning from Integral Losses in Physics Informed Neural Networks" paper (Accepted at ICML 2024, https://arxiv.org/abs/2305.17387).

EVA, asistente virtual avanzado, potenciado por Inteligencia Artificial, dise?ado para la gestión integral de clientes de ISP a través de conexiones API. Capaz de interpretar mensajes con precisión contextual y procesar recibos bancarios de entidades ecuatorianas. Facilita la configuración remota de routers Wi-Fi y automatiza múltiples procesos

Official pytorch implementation of "Learning fair representation with a parametric integral probability metric" published in ICML 2022.

This repository provides a simulation framework for Model Predictive Path Integral (MPPI) control in a reach-avoid setting using both Matplotlib-based Python simulation and ROS2 with Gazebo integration. The simulation showcases real-time obstacle avoidance and goal-directed planning, leveraging JAX for highly efficient batch computation.

Este sitio, parte integral del repositorio de conocimiento, está diseñado para proporcionarte acceso rápido y fácil a conceptos, guías y recursos fundamentales tanto en Estadística como en Ciencias de Datos, sin dejar de lado temas de interés general. Aquí hallarás artículos claros y concisos que explican paso a paso ideas clave.

Proyecto integral de análisis y modelado predictivo de datos inmobiliarios, que abarca recolección, transformación, visualización y machine learning utilizando Python y herramientas modernas de ingeniería y ciencia de datos.