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algorithms

A collection of algorithms and data structures

art-iqn

Risk-averse reinforcement learning algorithms for drone indoor navigation and obstacle avoidance.

cracking-c-plus-plus

Codes/notes about abstractive and effective C++ programming.

crazyflie-env

A crazyflie simulation environment with gym interface.

crazyflie-firmware

The main firmware for the Crazyflie Nano Quadcopter, Crazyflie Bolt Quadcopter and Roadrunner Positioning Tag.

crazyflie-lib-python

Python library to communicate with Crazyflie

crowdnav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

depth_avoider_crazyflie

Supplement materials for Micro Quadcopter Obstacle Avoidance with a Lightweight Monocular Depth Network

fractional-max-pooling

This is a reproduction of fractional max pooling method for CNN on MNIST, CIFAR10 and CIFAR100.

gate-detection-fcn

Recognizing Gates via Semantic Segmentation Based on Fully Convolutional Networks in Autonomous Drone Racing.

gym-nav2d-hybrid

A UAV 2D navigation OpenAI gym environment with hybrid action space.

hybrid-action-rl

Hybrid action space reinforcement learning algorithms.

malignancy-detector-luna16

Implementation of lung nodule detection and false positive reduction using CT images for LUNA16-LUng-Nodule-Analysis-2016-Challenge.

neuralmmo-challenge

notebooks-colab

A repository containing my python notebooks about PyTorch.

off-policy-rl-algorithms

PyTorch Implementation of off-policy reinforcement learning algorithms like Q-learning, DQN, DDPG and TD3.

ppo

A PyTorch implementation version of Proximal Policy Optimization Algorithm.

pyfly

quadcopter_simulator

A quadcopter simulator with single and multi-quad simulations

quadgym

OpenAI gym Environments for Quadrotor Control

quadrotor

Quadrotor control, path planning and trajectory optimization