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2dscanmatching_slam

Set of algorithms for 2D scan matching. Comparison of the state of the art.

aidea-server

AIdea 是一款支持 GPT 以及国产大语言模型通义千问、文心一言等，支持 Stable Diffusion 文生图、图生图、 SDXL1.0、超分辨率、图片上色的全能型 APP。

aikt-natural_language_processing

This repository is a sub branch of AI Knowledge Tree, mainly focus on Natural Language Processing.

all-about-the-gan

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

caffe-segmentation

Train/eval code for DilatedConv [Yu, ICLR'16], DeepLab-v2 [Chen, Arxiv'16], PSPNet [Zhao, CVPR'17]

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

coherent-line-drawing

An implementation of 'Coherent Line Drawing' by Kang et al, Proc. NPAR 2007

deeplearning-segan-segmentation

This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf

deepnest

An open source nesting application for laser cutters, plasma cutters and other CNC machines

detta

Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline

end-to-end-for-chinese-plate-recognition

多标签分类,端到端的中文车牌识别基于mxnet, End-to-End Chinese plate recognition base on mxnet

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

glove

GloVe model for distributed word representation

godot

Godot Engine – Multi-platform 2D and 3D game engine

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-semantic-segmentation-example

Example of semantic segmentation in Keras

laserslam

SLAM using 2D lidar

learning-to-see-in-the-dark

learnopengl-cn

http://learnopengl.com 系列教程的简体中文翻译

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mobilenet-v2-caffe

MobileNet-v2 experimental network description for caffe

mobilenetv2-ssdlite

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

models

Models and examples built with TensorFlow

multi-chessboard-corner-extraction-detection-

chess board corner extraction and chess board recovery "Automatic Camera and Range Sensor Calibration using a single Shot"

multi_thread

noc-examples-processing

Repository for example code from The Nature of Code book

online_adaptive_multi-object_tracking

Online multi-object tracking - C++