roger-lcc's Stars
google/leveldb
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
s0md3v/roop
one-click face swap
nginx/nginx
The official NGINX Open Source repository.
y123456yz/reading-code-of-nginx-1.9.2
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
naurril/SUSTechPOINTS
3D Point Cloud Annotation Platform for Autonomous Driving
tum-traffic-dataset/tum-traffic-dataset-dev-kit
TUM Traffic Dataset Development Kit
XIU2/Yuedu
📚「阅读」APP 自用书源(网络小说)
qcraftai/pillarnext
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)
PointsCoder/VOTR
Voxel Transformer for 3D object detection
ch-sa/labelCloud
A lightweight tool for labeling 3D bounding boxes in point clouds.
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
florinpop17/app-ideas
A Collection of application ideas which can be used to improve your coding skills.
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
facebookresearch/segment-anything
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.
resumejob/interview-questions
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
tusen-ai/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).
traveller59/spconv
Spatial Sparse Convolution Library
dvlab-research/VoxelNeXt
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
hailanyi/VirConv
Virtual Sparse Convolution for Multimodal 3D Object Detection
hailanyi/CasA
A Cascade Attention Network for 3D Object Detection from LiDAR point clouds
extreme-assistant/CVPR2024-Paper-Code-Interpretation
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
GrowingGit/GitHub-Chinese-Top-Charts
:cn: 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。
zas023/JdBuyer
京东抢购自动下单助手,GUI 支持 Windows 和 macOS
AbdBarho/stable-diffusion-webui-docker
Easy Docker setup for Stable Diffusion with user-friendly UI
lartpang/PyTorchTricks
Some tricks of pytorch... :star:
mushroom-x/yolov5-simple
YoloV5模型简化部署, 方便在OpenCV里面调用。
ghimiredhikura/Complex-YOLOv3
PyTorch implementation of Complex-YOLO paper with YoloV3
xtreme1-io/xtreme1
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
dmlc/xgboost
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