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19_udacity_dsa

Data Structures & Algorithms Nanodegree Program from Udacity

adas-ros2-gazebo-simulator

ADAS Application with ROS2 using Camera and LIDAR using Gazebo Simulator.

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

aipnd-project

Project code for AI Programming with Python ND Program

an-ml-based-approach-for-solving-inverse-kinematic-of-a-6dof-robotic-arm

Solving the inverse kinematics of a robotic arm is a necessary step whether it is a first-time installation or the configuration of the robotic arm is already changed. In this work, a machine learning-based approach for solving the inverse kinematic of a robotic arm with six degrees of freedom is presented.

apollo

An open autonomous driving platform

as-one

Easy & Modular Computer Vision Detectors and Trackers - Run YOLO-NAS,v8,v7,v6,v5,R,X in under 20 lines of code.

awesome-hacking

A collection of various awesome lists for hackers, pentesters and security researchers

awesome-llm-robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

basic-algorithms

Handy algorithms

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

carla

Open-source simulator for autonomous driving research.

chatgpt

Reverse engineered ChatGPT API

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

check_images

Test 3 algorithms for classifying between dogs and not dogs

code

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

course-js-and-the-dom

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

crowdscope

cruise_control

Cruise control in Simulink

crypto-rl

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

darknet

Convolutional Neural Networks

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

data_structures

Handy Data Structures

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep_object_pose

Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

delftx_ros1x_hrwros

Hello (Real) World with ROS – Robot Operating System course source file

dfs

DFS algorithm A standard DFS implementation puts each vertex of the graph into one of two categories: Visited Not Visited The purpose of the algorithm is to mark each vertex as visited while avoiding cycles. The DFS algorithm works as follows: Start by putting any one of the graph's vertices on top of a stack. Take the top item of the stack and add it to the visited list. Create a list of that vertex's adjacent nodes. Add the ones which aren't in the visited list to the top of stack. Keep repeating steps 2 and 3 until the stack is empty.

dlib

A toolkit for making real world machine learning and data analysis applications in C++

donut

Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022