LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

one-click face swap

The official NGINX Open Source repository.

nginx-1.9.2源码通读分析注释，带详尽函数中文分析注释以及相关函数流程调用注释，最全面的nginx源码阅读分析中文注释，更新完毕

3D Point Cloud Annotation Platform for Autonomous Driving

TUM Traffic Dataset Development Kit

📚「阅读」APP 精品书源（网络小说）

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)

Voxel Transformer for 3D object detection

A lightweight tool for labeling 3D bounding boxes in point clouds.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

A Collection of application ideas which can be used to improve your coding skills.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Interview Questions for Google, Amazon, Apple, etc. 根据超过 2000 篇真实面经整理的腾讯，阿里，字节跳动，Shopee，美团，滴滴高频面试题

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).

Spatial Sparse Convolution Library

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

Virtual Sparse Convolution for Multimodal 3D Object Detection

A Cascade Attention Network for 3D Object Detection from LiDAR point clouds

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Tensors and Dynamic neural networks in Python with strong GPU acceleration

🇨🇳 GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。

京东抢购自动下单助手，GUI 支持 Windows 和 macOS

Easy Docker setup for Stable Diffusion with user-friendly UI

Some tricks of pytorch... ⭐

YoloV5模型简化部署， 方便在OpenCV里面调用。

PyTorch implementation of Complex-YOLO paper with YoloV3

Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow