Pinned Repositories
60_Days_RL_Challenge
Learn Deep Reinforcement Learning in Depth in 60 days
A-Star-with-pygame-and-networkx
CarND-Traffic-Sign-Classifier-Project
Indoor-Navigation-with-a-Quadcopter
ME495-Final-Project-Baxter-Stocking-Stuffer
Ho-Ho-Ho. Baxter as Santa Claus
me495_tutorials
Embedded Systems in Robotics Tutorials
Remove-Horizon
RPG-Monocular-Pose-Estimation-ME495-HW2
RPG Monocular Pose Estimation. ME495 HW2
SFND_2D_Feature_Tracking
SLAM-from-scratch
ChuChuIgbokwe's Repositories
ChuChuIgbokwe/Remove-Horizon
ChuChuIgbokwe/SFND_2D_Feature_Tracking
ChuChuIgbokwe/60_Days_RL_Challenge
Learn Deep Reinforcement Learning in Depth in 60 days
ChuChuIgbokwe/CarND-Extended-Kalman-Filter-Project
ChuChuIgbokwe/CarND-Kidnapped-Vehicle-Project
ChuChuIgbokwe/CarND-PID-Control-Project
ChuChuIgbokwe/course-v3
The 3rd edition of course.fast.ai
ChuChuIgbokwe/course22
The fast.ai course notebooks
ChuChuIgbokwe/course22p2
course.fast.ai 2022 part 2
ChuChuIgbokwe/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
ChuChuIgbokwe/deep_reinforcement_learning_nanodegree
ChuChuIgbokwe/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
ChuChuIgbokwe/fastbook
The fastai book, published as Jupyter Notebooks
ChuChuIgbokwe/FCND-Backyard-Flyer
ChuChuIgbokwe/FCND-Controls-CPP
ChuChuIgbokwe/FCND-Estimation-CPP
ChuChuIgbokwe/FCND-Motion-Planning
ChuChuIgbokwe/FCND-Motion-Planning-1
Motion planning project (P1)
ChuChuIgbokwe/gitignore
A collection of useful .gitignore templates
ChuChuIgbokwe/hdl_graph_slam
3D LIDAR-based Graph SLAM
ChuChuIgbokwe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
ChuChuIgbokwe/loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
ChuChuIgbokwe/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
ChuChuIgbokwe/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
ChuChuIgbokwe/Reinforcement-Learning-Notebooks
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
ChuChuIgbokwe/segmap
A map representation based on 3D segments
ChuChuIgbokwe/sfnd_lidar_obstacle_detection
ChuChuIgbokwe/sfnd_radar_target_generation_and_detection
ChuChuIgbokwe/stepper_motor_controller
ChuChuIgbokwe/udlbook
Understanding Deep Learning - Simon J.D. Prince