Stars
A refreshingly simple data-driven game engine built in Rust
Generative Modeling with Optimal Transport Maps - ICLR 2022
Rectified Flow Inversion (RF-Inversion) - ICLR 2025
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
BLE and Bluetooth Jammer with nRF24L01 and ESP32
Python sample codes and textbook for robotics algorithms.
AtsushiSakai / path_planner
Forked from karlkurzer/path_plannerHybrid A* Path Planner for the KTH Research Concept Vehicle
karanchawla / path_planner
Forked from AtsushiSakai/path_plannerHybrid A* Path Planner for the KTH Research Concept Vehicle
Fusing GPS, IMU and Encoder sensors for accurate state estimation.
A simplified one dimensional Kalman filter implementation for Arduino.
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
C++ Kalman filtering (Extended Kalman Filter, Unscented Kalman Filter)
Basic Kalman filter implementation in C++ using Eigen
Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
Header-only C++11 Kalman Filtering Library (EKF, UKF) based on Eigen3
A simple implementation of Kalman filter and RTS smoother in Rust (ndarray)
Yet Another Kalman Filter Implementation. As well as Lie Theory (Lie group and algebra) on SE(3). [no_std] is supported by default.
Fixed- and floating-point Kalman filters for resource-constrained environments, written in Rust.
Dead simple implementation of Discrete Kalman filter for object tracking purposes
A standalone Rust implementation of an Extended Kalman Filter for attitude estimation, designed for quadcopter applications.
Navigation filter based on an Error State Kalman Filter
Kalman filters and other optimal and non-optimal estimation filters in Rust
Lightweight C/C++ Extended Kalman Filter with Python for prototyping
This is a Kalman filter used to calculate the angle, rate and bias from from the input of an accelerometer/magnetometer and a gyroscope.