Miki-lin

Miki-lin's Stars

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.2k3254033.3k

• wang-xinyu/tensorrtx

  Implementation of popular deep learning networks with TensorRT network definition API

  Language:C++7k1041.3k1.8k

• dpilger26/NumCpp

  C++ implementation of the Python Numpy library

  Language:C++3.6k80194554

• torch-points3d/torch-points3d

  Pytorch framework for doing deep learning on point clouds.

  Language:Python2.5k54365392

• onnx/tensorflow-onnx

  Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

  Language:Jupyter Notebook2.3k591.1k432

• NVIDIA/trt-samples-for-hackathon-cn

  Simple samples for TensorRT programming

  Language:Python1.5k2192343

• PRBonn/lidar-bonnetal

  Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

  Language:Python96128110206

• xinge008/Cylinder3D

  Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

  Language:Python85915169180

• HuguesTHOMAS/KPConv-PyTorch

  Kernel Point Convolution implemented in PyTorch

  Language:Python78915242158

• PRBonn/semantic-kitti-api

  SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

  Language:Python78414146187

• HuguesTHOMAS/KPConv

  Kernel Point Convolutions

  Language:Python71322169130

• potree/PotreeConverter

  Create multi res point cloud to use with potree

  Language:JavaScript69069469427

• cyrusbehr/tensorrt-cpp-api

  TensorRT C++ API Tutorial

  Language:C++63386878

• HuangCongQing/3D-Point-Clouds

  🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等

  Language:Jupyter Notebook4698575

• PJLab-ADG/OpenPCSeg

  OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark

  Language:Python371122636

• aRI0U/RandLA-Net-pytorch

  PyTorch implementation of RandLA-Net

  Language:Python34675652

• ldkong1205/Robo3D

  [ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

  Language:Python3209726

• PRBonn/rangenet_lib

  Inference module for RangeNet++ (milioto2019iros, chen2019iros)

  Language:C++314145872

• potree/PotreeDesktop

  Desktop version of Potree

  Language:JavaScript170143848

• tsunghan-wu/RandLA-Net-pytorch

  :four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

  Language:C++12232733

• RichExplor/semantic_slam

  semantic_slam from rangenet_lib

  Language:C++503415

• Natsu-Akatsuki/RangeNetTrt8

  tensorrt8 && cuda && libtorch implementation of rangenet++

  Language:C++4922310

• huixiancheng/PCB-RandNet

  [ICRA 2024] PCB-RandNet: Rethinking Random Sampling for LiDAR Semantic Segmentation in Autonomous Driving Scene

  Language:Python22321

• SCUT-BIP-Lab/PointDC

  [ICCV 2023] PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering

  Language:Python19461

• StephenYang190/rangenet_lib

  Rangenet lib in TensorRT8

  Language:C++152

• charlesChen02/RandLA-pytorch

  Improved pytorch implementation of RandLA (https://arxiv.org/abs/1911.11236) with easier transferability and reproductibility

  Language:C++14184

• vincenzo0603/rangenet_lib_forTensorRT8XX

  Language:C++10201

• zeal-up/PointcloudClustering

  Compare the time cost of vanilla EuclideanClusterExtraction in pcl and Fast Euclidean Clustering algorithm

  Language:C++9100

• andrewkouri/lidar-bonnetal

  Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

  Language:Python32

• Mayaolong/Resample

  适合点云的上采样，固定采样和，下采样。并包含ply与pcd文件的相互转化

  Language:C++13