Mason Song's repositories
Pointcept
Pointcept: a codebase for point cloud perception research. Latest works: PPT, MSC (CVPR'23), PTv2 (NeurIPS'22)
brpc
brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC".
pcl
Point Cloud Library (PCL)
oneformer3d
OneFormer3D: One Transformer for Unified Point Cloud Segmentation
mmdetection
OpenMMLab Detection Toolbox and Benchmark
Open3D
Open3D: A Modern Library for 3D Data Processing
VTK
Learn Mirror of Visualization Toolkit repository
SegmentAnything3D
SAM3D: Segment Anything in 3D Scenes
AnimateAnyone
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
EdgeSAM
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。
PointNeXt
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
TinyWebServer
:fire: Linux下C++轻量级WebServer服务器
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
flash-linux0.11-talk
你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码
APES
Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023
Point-NN
[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
linux_kernel_wiki
linux内核学习资料：200+经典内核文章，100+内核论文，50+内核项目，500+内核面试题，80+内核视频
ActionDetection-DBG
Code for AAAI2020 paper "Fast Learning of Temporal Action Proposal via Dense Boundary Generator"
Pointnet2_PyTorch
PyTorch implementation of Pointnet2/Pointnet++
P4Transformer
Implementation of the "Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos" paper.
prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
human-action-recognition
Multi Person Skeleton Based Action Recognition and Tracking
kubernetes
Production-Grade Container Scheduling and Management
deep-Q-networks
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51