yuzhus's Stars
duynamrcv/quadrotor_mpc
The implement for the Quadrotor trajectory tracking using MPC with CasADi library
syhyz1990/baiduyun
油猴脚本 - 一个免费开源的网盘下载助手
jangirrishabh/Overcoming-exploration-from-demos
Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI
DHDev0/Muzero-unplugged
Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
Farama-Foundation/Arcade-Learning-Environment
The Arcade Learning Environment (ALE) -- a platform for AI research.
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
hari-sikchi/AWAC
Advantage weighted Actor Critic for Offline RL
geekplux/cv_resume
A latex cv/resume template.
jakegut/resume
LaTeX template for my personal resume
darwiin/yaac-another-awesome-cv
YAAC: Another Awesome CV is a template using Font Awesome and Adobe Source Font.
liweitianux/resume
My resume in LaTeX (template suited for new graduates; 应届生简历模板)
Machine-Jonte/vive_ros
A different version of the vive_ros package with added pose publisher
yingkunwu/R-YOLOv4
This is a PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detection.
ros-pybullet/ros_pybullet_interface
ROS-PyBullet Interface.
FunFizz/HungryRobot
Make a Hungry Robot with an Arduino Uno compatible board, a distance sensor and a servo.
Alpaca-zip/ultralytics_ros
ROS/ROS 2 package for Ultralytics YOLOv8 real-time object detection and segmentation. https://github.com/ultralytics/ultralytics
wkentaro/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
cmichi/latex-template-collection
Collection of different LaTeX/XeTeX templates (cv, invoices, timesheets, letters, etc.).
RaghavvGoel/IntegralBarrierLyapunov
Based on the paper by Sam Ge
ohmyjesus/RBF_NeuralNetwork
RBF神经网络自适应控制的相关代码，具体可参考 Liu J K. Radial Basis Function Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation.
ikelq/Adaptive-bias-RBFNN-control
francispoole/RBF-Neural-Network
Radial Basis Function Neural Network designed to predict house prices in the Boston area
attaoveisi/AFISMC
a new observer-based adaptive fuzzy integral sliding mode controller (AFISMC) is proposed based on the Lyapunov stability theorem. The plant under study is subjected to a square-integrable disturbance and is assumed to have mismatch uncertainties both in state- and input-matrices. In addition, a norm-bounded time varying term is introduced to address the possible existence of un-modelled/nonlinear dynamics. Based on the classical sliding mode controller (SMC), the equivalent control effort is obtained to satisfy the sufficient requirement of SMC and then the control law is modified to guarantee the reachability of the system trajectory to the sliding manifold. The sliding surface is compensated based on the observed states in the form of linear matrix inequality (LMI). In order to relax the norm-bounded constrains on the control law and solve the chattering problem of SMC, a fuzzy logic (FL) inference mechanism is combined with the controller. An adaptive law is then introduced to tune the parameters of the fuzzy system on-line. Finally, by aiming at evaluating the validity of the controller and the robust performance of the closed-loop system, the proposed regulator is implemented on a real-time mechanical vibrating system.