-
Startup
- Paris
-
06:19
(UTC +02:00) - @minhhoanggia
Stars
A Python-embedded modeling language for convex optimization problems.
Algorithms for location estimation based on short GNSS snapshots.
Extended Kalman Filter (EKF) for position estimation using raw GNSS signals, IMU data, and barometer
Some Python Implementations of the Kalman Filter
🌏 📡 🌏 📡 LEOGPS - Satellite Navigation with GPS on Python!
🤖 Places where you can learn robotics (and stuff like that) online 🤖
leetcode.com , algoexpert.io solutions in python and swift
A novel framework for processing raw GNSS measurements on an Android smartphone
Code supporting raw ranges for the Android
Everything you need to prepare for your technical interview
Variable Inspector extension for Jupyterlab
GNSS Sofware Defined Receiver Metadata Standard
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
Starter project code for students taking Udacity ud120
This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.