MZJR

MZJR's Stars

• UniversalRobots/Universal_Robots_ROS_Driver

  Universal Robots ROS driver supporting CB3 and e-Series

  Language:C++747400

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell50.9k11.4k

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  175k50.8k

• JingweiToo/Wrapper-Feature-Selection-Toolbox

  This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.

  Language:MATLAB16536

• DynamicsAndNeuralSystems/catch22

  catch22: CAnonical Time-series CHaracteristics

  Language:C35869

• datawhalechina/wonderful-sql

  Follow me，从 0 到 1 掌握 SQL。

  745159

• blue-yonder/tsfresh

  Automatic extraction of relevant features from time series:

  Language:Jupyter Notebook8.4k1.2k

• benfulcher/hctsa

  Highly comparative time-series analysis

  Language:MATLAB726313

• mathworks/deep-learning-for-time-series-data

  The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous wavelet transform and transfer learning, whereas the second way is using Wavelet Scattering and LSTMs. The explanations of the code are in Chinese. The used data set can be download on：https://github.com/mathworks/physionet_ECG_data/

  178

• redone17/deep-sensor

  A deep learning framework for fault diagnositcs with PyTorch

  Language:Python4314

• meitetsu3/1DCNN

  Explanation of 1D CNN

  Language:Jupyter Notebook5612

• skywateryang/timeseries101

  本教程独立网站已上线

  Language:Jupyter Notebook20959

• wangfin/1DCNN_Fault_Detection

  1DCNN Fault Detection（1DCNN的轴承故障诊断）

  Language:Python12830

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python22.6k7.9k

• sktime/sktime

  A unified framework for machine learning with time series

  Language:Python7.8k1.3k

• mathworks/physionet_ECG_data

  This repository contains human electrocardiogram data (ECG) data used in Wavelet Toolbox machine and deep learning examples

  4929

• xiaosongshine/bearing_detection_by_conv1d

  [深度应用]·DC竞赛轴承故障检测开源Baseline（基于Keras1D卷积 val_acc:0.99780）

  Language:Python17466

• AtsushiSakai/rosbag_to_csv

  Converter from ros bag to csv

  Language:Python325140

• dragen1860/Deep-Learning-with-PyTorch-Tutorials

  深度学习与PyTorch入门实战视频教程 配套源代码和PPT

  Language:Python2.8k1.3k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.6k25.3k

• microsoft/Azure-Kinect-Sensor-SDK

  A cross platform (Linux and Windows) user mode SDK to read data from your Azure Kinect device.

  Language:C++1.5k619

• luwf/ur5_force_tracking

  one-dimensional force tracking under unknown environment stiffness and variable environment position using a UR5 industry manipulator and an ATI force sensor

  Language:C53

• QiSheng918/ur_force_control

  Language:C++133

• PaulDanielML/MuJoCo_RL_UR5

  A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

  Language:Python42454

• l0o0/jasminum

  A Zotero add-on to retrive CNKI meta data. 一个简单的Zotero 插件，用于识别中文元数据

  Language:TypeScript5.3k281

• kth-ros-pkg/force_torque_tools

  Tools for gravity compensation and force-torque sensor calibration.

  Language:C++7849

• MingshanHe/Grasp_UR5

  This is a project about grasping by robot arm UR5. It`s maily used RGB-D camera and movelt! to calculate the kinetic of robot.

  Language:C++318

• MingshanHe/Compliant-Control-and-Application

  Compliant Control: 1) admittance control algorithm 2) impedance control algorithm 3) hybrid force&position algorithm in robotic arm (Universal Robot).

  Language:C++30662

• mgualti/GeomPickPlace

  Code for reproducing experiments for the paper "Pick-and-Place With Uncertain Object Instance Segmentation and Shape Completion".

  Language:Python218

• wq13552463699/UR5E_robot_gym_env_Real_and_Sim

  Reinforcement learning environment for UR5e robot with OPENAI gym like format. Include both simulation and real parts.

  Language:Python92