daxiongpro

spiders

爬虫集合：全民K歌下载—破解vip下载限制、小红书无水印图片

articles

文章同步到知乎

ros2_kitti

使用Ros2对KITTI数据集进行可视化

CMT

[ICCV 2023] Cross Modal Transformer: Towards Fast and Robust 3D Object Detection

Qdotfiles

🍺Help you use Ubuntu more easy !!! 🚀Support oh-my-zsh installation and http proxy testing!!

d2l-ros2-foxy

动手学ROS2-Foxy课程配套教程，欢迎关注公众号《鱼香ROS》

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

those_deploy

BEVDet_fork

cuda11.1 + pytorch1.10.0 + Tensorrt8.5.1.7

BEVFusion_Beida

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

bevfusion_fork

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

ColossalAI

Making large AI models cheaper, faster and more accessible

CUDA-PointPillars

A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

daxiongpro

DeepInteraction_fork

[NeurIPS 2022] DeepInteraction: 3D Object Detection via Modality Interaction

demo_cpp

本项目介绍，如何写一个 C++ 库，安装到 Linux 系统中，并在另一个项目中使用这个库。

DocsGPT

GPT-powered chat for documentation search & assistance.

DouZero

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

EA-LSS

EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection

FullySparseFusion

Fully Sparse Fusion for 3D Object Detection

grok-1

Grok open release

Lidar_AI_Solution

bevfusion 部署

Open-Sora

Open-Sora: Democratizing Efficient Video Production for All

OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

redbook-spider

爬虫demo, 爬取小红书无水印图片等

SST

Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

TorchEx

Collection of PyTorch customized operators.

TPVFormer

An academic alternative to Tesla's occupancy network for autonomous driving.

UniAD_origin

[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving