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Name: hardli
Type: User
Location: Aachen, NRW, Germany
hardli's Projects
blender_python
Follow the tutorial of CG Python
deep-learning-for-robotics
These notes are from TheConstruct course "deep learning for robotics"
drawing-exercise
This repo contains several tools written by python in order to arrange personal "drawing exercises"
git_trial
try some basic operations with git
gym-platform-instadeepchallenge
OpenAI Gym environment for Platform, step 2 of interview of Instadeep Internship
hackerrank-challenges
Some challenges in HackerRank which are worthy to note
human-shape-model
This is a model with human shape created by .urdf and .xacro files
iis_interviewprepare
Probable preparation for interview of HIWI in IIS, including camera calibration, voxel generation, mesh generation and so on.
lstnet-and-kiglis-training
Abstract of paper "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" and training of kiglis-dataset
machine-learning-for-ros
These notes are from TheConstruct about machine learning for ROS
motion_classification_thesis_iaw_rwth
Project thesis on topic of motion classification from skeleton data
mp-dqn-instadeepchallenge
Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
opencv-in-ros
These notes are from TheConstruct about application of OpenCV in ROS
opencv_exercise
Follow the tutorial of Murtaza's Workshop
pdf-editor
A project with PyPDF2 3.0.0 to edite PDFs
pytorch-notes
Collection and arrangement of my previous notes for self-learning of Pytorch
robot_racetrack
essential learning to use Git and Github
ros-basics
Notes from TheConstruct: ROS basic knowledge with topics, services, actions
ros-navigation
These notes are from TheConstruct about ROS navigation stack
ros_navigation_rosject
Rosject from course ROS Navigation in5 days from TheConstruct
urdf-modeling
These notes are from TheConstruct about simulation modelling with .urdf file
virtual_racetracks_collection
Training repository for the Git and GitHub course.
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