markqian359

markqian359's Stars

• louiszeju/Robot-Demo

  Language:Python1

• OpenZeppelin/openzeppelin-contracts

  OpenZeppelin Contracts is a library for secure smart contract development.

  Language:Solidity24.9k11.8k

• inoutcode/ethereum_book

  精通以太坊 （中文版）

  Language:Vue3.6k920

• ethereum/solidity

  Solidity, the Smart Contract Programming Language

  Language:C++23.3k5.8k

• ethereumbook/ethereumbook

  Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

  Language:JavaScript19.9k4.9k

• flexivrobotics/flexiv_rdk

  RDK (Robotic Development Kit) for Flexiv robots. Supports C++ and Python. Compatible with Linux, macOS, and Windows.

  Language:C++6719

• Dtananaev/lidar_dynamic_objects_detection

  Language:Python329

• open-mmlab/OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  Language:Python4.7k1.3k

• maudzung/Complex-YOLOv4-Pytorch

  The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

  Language:Python1.2k256

• scaleapi/pandaset-devkit

  Language:Jupyter Notebook24959

• MaybeShewill-CV/attentive-gan-derainnet

  Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/

  Language:Python26183

• rui1996/DeRaindrop

  Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)

  Language:Python503113

• mpitropov/cadc_devkit

  A devkit for the Canadian Adverse Driving Conditions (CADC) dataset.

  Language:Python14935

• Vinohith/Self_Driving_Car_specialization

  Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

  Language:Jupyter Notebook421454

• VincentWong3/automatic-driving-decision-and-planning-for-matlab

  Language:MATLAB544234

• VincentWong3/automated-driving-control

  Language:MATLAB607283

• amanchadha/coursera-deep-learning-specialization

  Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

  Language:Jupyter Notebook3.1k2.3k

• michele-segata/mpclib

  A C++ library for solving Model Predictive Control problems

  Language:C++2711

• robotology/osqp-eigen

  Simple Eigen-C++ wrapper for OSQP library

  Language:C++391117

• ycchen00/Introduction-to-Data-Science-in-Python

  Coursera | Introduction to Data Science in Python（University of Michigan）

  Language:Jupyter Notebook8048

• 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

  177k51.1k

• qiyuangong/leetcode

  Python & JAVA Solutions for Leetcode

  Language:Python5.2k1.5k

• Kulbear/deep-learning-coursera

  Deep Learning Specialization by Andrew Ng on Coursera.

  Language:Jupyter Notebook7.5k5.5k

• gzykarajan/SystemIdentification

  System Identification Test Python Codes

  Language:Jupyter Notebook144

• giandbt/Control-of-Mobile-Robots

  From Coursera - Control of Mobile Robots and Georgia Tech's Sim.I.am robot simulator, I was able to develop a mobile robot that successfully reaches any desired goal while avoiding any obstacle in its way,

  Language:Matlab2510