continue-up

continue-up's Stars

• bbbestb/bestcnvpn

  【国内梯子排行】最好用的VPN梯子推荐与科学上网测评 -梯子、科学上网、翻墙、机场、v2ray、trojan、shadowsock

  12238

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python56.1k5.8k

• xingyizhou/CenterNet2

  Two-stage CenterNet

  Language:Python1.2k188

• open-mmlab/OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  Language:Python4.7k1.3k

• happinesslz/TANet

  The AAAI-2020 Paper(Oral):"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention"

  Language:Python25349

• LittlePey/SFD

  Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion (CVPR 2022, Oral)

  Language:Python26634

• happinesslz/EPNetV2

  EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection (TPAMI-2022)

  Language:Python566

• xjw00654/InvestmentLog

  基金投资日记，搜罗知乎上的大佬们分享的每日投资，简单爬下来之后，利用pushplus定时推送到设备上综合考虑。

  Language:Python81

• DFLyan/notes_of_experiments

  Language:Python8

• DerrickXuNu/OpenCOOD

  [ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

  Language:Python66599

• anshulpaigwar/Frustum-Pointpillars

  Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR

  Language:Python5114

• IDEA-Research/awesome-detection-transformer

  Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

  1.3k111

• SxJyJay/MSMDFusion

  [CVPR 2023] MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection

  Language:Python18411

• zhukevkesky/VPFNet

  Language:Python485

• hyungikim4/SFA3D

  Language:Python43

• AmrElsersy/Stereo-3D-Detection

  Stereo based 3D object detection on KITTI dataset using Pytorch implementing the Pseudo LIDAR pipeline with papers: AnyNet & PointPillars & SFA3D

  Language:Python4611

• OUXT-Polaris/point_painting

  Language:C++11

• SekiroRong/SFA3D-PointPainting

  A Panoramic Awareness Network inspired by PointPainting and SFA3D

  Language:Python53

• mikesprague/udacity-nanodegrees

  :mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula

  6.2k2.2k

• V2AI/Det3D

  World's first general purpose 3D object detection codebse.

  Language:Python1.5k298

• ika-rwth-aachen/MultiCorrupt

  MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, miscalibration, weather) and severity levels. Assess model performance under challenging conditions.

  Language:Jupyter Notebook505

• udacity/deep-learning-v2-pytorch

  Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

  Language:Jupyter Notebook5.3k5.3k

• udacity/self-driving-car

  The Udacity open source self-driving car project

  Language:Jupyter Notebook6.2k2.1k

• ty4z2008/Qix

  Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

  14.7k4.7k

• udacity/nd013-c2-fusion-starter

  Starter Code for the Course 2 project of the Udacity Self-Driving Car Engineer Nanodegree Program

  Language:Python60150

• maudzung/SFA3D

  Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

  Language:Python1k275

• naurril/SUSTechPOINTS

  3D Point Cloud Annotation Platform for Autonomous Driving

  Language:JavaScript858220

• bernwang/latte

  LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking

  Language:Python405158

• PointsCoder/Awesome-3D-Object-Detection-for-Autonomous-Driving

  3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

  53365

• zehuichen123/AutoAlignV2

  [ECCV2022, IJCAI2022] AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection

  Language:Python14415