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100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

100-Days-Of-ML-Code中文版

3d_cnn_tensorflow

KITTI data processing and 3D CNN for Vehicle Detection

a-star_pathplanner_ros

adaptive_clustering

A lightweight and accurate point cloud clustering method

ailearning

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

algo-dictionary

apollo

An open autonomous driving platform

astar_navistack

Astar path planning algorithm for ROS

astarpathplanning

A-star algorithm used for grid map path planning.

autoware.ai

Open-source software for self-driving vehicles

autoware.ai-1.14.0

fixed some errors in ubuntu18.04

autowarearchitectureproposal.proj

This is the source code of the feasibility study for Autoware architecture proposal.

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

carnd-semantic-segmentation

cartographer_ros

Provides ROS integration for Cartographer.

cnn

Convolutional Neural Network using Eigen and C++

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

cornernet-lite

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-learning-for-beginners

Code Examples of "Deep Learning for Beginners"

deep-learning-for-computer-vision

Exercises from https://www.pyimagesearch.com/deep-learning-computer-vision-python-book/

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-pointnet-project

Classification and Segmentation of the MNIST dataset given as a point set input. Classification: the program classifies hand written digits, given as a sample of 100 points in a 2 dimensional field. the architecture is based on a Stanford article of a PointNet which is especially efficient for 3D image classification. the PointNet classification accuracy is 92.86% Segmentation: this is an extension to the classification net which can later define segments within the pointset. the program receives an input of a handwritten digit, given as a sample of 200 points in a 2 dimensional field, where 100 of the points are a sample of the digit itself, and the rest of the points are "background" points which are not part of the digit. the program classifies each point into one of the 2 segments and returns if it is part of the digit or part of the background. the PointNet segmentation accuracy is 97.65%

deep-visualization-toolbox

DeepVis Toolbox

deepcut-cnn

CNN architecture for articulated human pose estimation

detectozord

utilizing PointNet+ PCL for object detection, classification and pose estimation from point clouds

dgcnn

dink

🚕点云深度学习框架 | Point cloud Deep learning Framework🚕