candyy3

candyy3's Stars

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python66.9k2831.7k8.2k

• hpcaitech/ColossalAI

  Making large AI models cheaper, faster and more accessible

  Language:Python39k3861.7k4.4k

• visual-openllm/visual-openllm

  something like visual-chatgpt, 文心一言的开源版

  Language:Python1.2k2744164

• guochengqian/PointNeXt

  [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

  Language:Shell82015148121

• HuguesTHOMAS/KPConv-PyTorch

  Kernel Point Convolution implemented in PyTorch

  Language:Python79915246159

• mmolero/awesome-point-cloud-processing

  A curated list of awesome Point Cloud Processing Resources, Libraries, Software

  751462133

• antao97/dgcnn.pytorch

  A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

  Language:Python731990151

• HuguesTHOMAS/KPConv

  Kernel Point Convolutions

  Language:Python72222169132

• leomariga/pyRANSAC-3D

  A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

  Language:Python58582873

• ZrrSkywalker/Point-NN

  [CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

  Language:Python497163849

• POSTECH-CVLab/FastPointTransformer

  Official source code of Fast Point Transformer, CVPR 2022

  Language:Python27961741

• tudelft3d/AdTree

  Accurate, detailed, and automatic modelling of laser-scanned trees

  Language:C++196192839

• Amsterdam-AI-Team/Urban_PointCloud_Processing

  Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.

  Language:Python174112428

• lyqun/FPConv

  CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"

  Language:Python13182116

• hrzhou2/AdaptConv-master

  Adaptive Graph Convolution for Point Cloud Analysis

  Language:Python11661812

• LifeBeyondExpectations/ECCV22-PointMixer

  [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"

  Language:Python10311012

• leggedrobotics/tree_detection

  This package implements a simple tree detector from point cloud data. It makes no assumptions about the ground plane and can handle arbitrary terrains.

  Language:C++725415

• InteractiveComputerGraphics/TreeNSearch

  C++ library for fast computation of neighbor lists in point clouds.

  Language:C++55639

• GuangpengFan/AdQSM

  AdQSM is a new tree quantitative structure model (QSM) that can reconstruct the 3D branch geometry of individual tree from Terrestrial Laser Scanning (TLS) point clouds. Many attributes of the trunk or branch can also be quantitatively calculated (as shown in the table below). For example, tree volume (trunk and branch), DBH and tree height parameters can be extracted directly. It allows point clouds collected by different sensors to serve as input point clouds. In addition to TLS, UAV LiDAR, mobile LiDAR, SLAM and even photogrammetry are also included under the premise of appropriate point cloud density.

  Language:GLSL46379

• NNU-GISA/TreeGAN

  3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions

  Language:Python463041

• wangzy22/SemAffiNet

  [CVPR 2022] SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation

  Language:Python44212

• tsunghan-wu/ReDAL

  🍀 Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu et al. ICCV 2021."

  Language:Python4231010

• hellwue/TreeSpeciesClassification

  This repostiory contains the code used in the publication "Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds using two Deep Neural Networks: PointCNN and 3DmFV-Net"

  Language:Python10113

• immortalCO/PointTree

  Language:C++9102

• Amsterdam-AI-Team/Urban_PointCloud_Analysis

  This repository contains methods for the automatic extraction of urban street furniture from labeled PointClouds.

  Language:Python7501

• Amsterdam-AI-Team/PointCloud_Tree_Modelling

  This repository contains methods for the automatic extraction of various characteristics of trees in point clouds using advanced analytical methods.

  Language:C++4120

• Amsterdam-AI-Team/Tree_Detection_in_Aerial_Point_Clouds

  Data processing for urban tree detection in aerial 3D point clouds. Analyzing tree data in Amsterdam 🌳

  Language:Python4210

• cran/TreeLS

  :exclamation: This is a read-only mirror of the CRAN R package repository. TreeLS — Terrestrial Point Cloud Processing of Forest Data. Homepage: https://github.com/tiagodc/TreeLS

  Language:C++330

• ccalafiore/DBSCAN-and-3d-RANSAC-to-segment-and-locate-the-apples-from-a-point-cloud-of-apple-trees

  Language:Python210

• RobertHuben/tree_point_clouds

  Methods for identifying individual trees from point cloud data

  Language:Python2101