dronerl2020 Goto Github PK

adversarial_attack_binary_classifier

1.Adversarial Attack, 2.Compare noise using total_variation

ai-study_snu-bdi

camera_based_pose_estimation_and_localization

Mobility Project 1

carnd-extended-kalman-filter-project

My solution to the Udacity Self-Driving Car Engineer Nanodegree Extended Kalman Filter project.

coding-notes

I'm compiling comprehensive coding tutorials for many different languages and frameworks! 🐲

cpp_game

deep-learning_review

#Deep Learning Fundamental Reviews

deep_learning_thesis_implementations

deep learning, robotics related thesis implementations

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

dronerl2020.github.io

ds_algorithms

data structures and alorithms

dynamic_obstacle_avoidance_unity

Unity drone learns how to avoid dynamic obstacles through Deep Reinforcement Learning

ece9343_ds_algo

I'm going to implement data structures and algorithms in C++

end-to-end-self-driving

Indoor Self Driving(Behavioral Cloning) with Real World Rover

gamedevpracticepackage

imitation_learning_quadcopter

#Drone_raspberrypi3_navio2_picamera #cs294_hw1 #Imitation_learning

l5kit

L5Kit - level5.lyft.com

leet_code

Algorithm and data structure study by solving leet_code medium level questions

local_indoor_navigation

1. Path Generation : Semantic Segmentation with MobileUNet, 2. Path Following, 3. Collision Avoidance with Yolo

lyftmotiontracking

test

mixture_density_network_prediction

Torch implementation of mixture density network to predict future pose of objects

optimal_and_learning_control_for_robotics

*Goal: How to make robot move "Optimally" (1.Algorithms to compute complex robot movements emphasis on optimal control and reinforcement learning, 2.Practical application examples of the algorithms in real world applications

optlearningcontrol

Optimal and learning control for robotics (ECE-9243 / ME-GY 7973)

probablistic_3d_mot_waymo

https://github.com/droneRL2020/Waymo_tracking.git applied this method to Waymo 3D Tracking dataset

pytorch

Deep Learning Zero to All - Pytorch

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

reinforcementzerotoall

sensor_fusion_state_estimation

1.Extended Kalman Filter(Vicon, IMU) 2.Unscented Kalman Filter(Vicon, IMU)

sensor_fusion_threading

Threading module for localization with real-time sensor fusion when your company doesn't use ROS.

sequence2sequence_attention