-
Institute of Computing Technology (ICT), Chinese Academy of Sciences
- Beijing
- Email:mincheng@ict.ac.cn
- https://chaytonmin.github.io/minchen
Starred repositories
A cross-platform, reimplementation of Notepad++
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
An open source library for face detection in images. The face detection speed can reach 1000FPS.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
FlashMLA: Efficient Multi-head Latent Attention Kernels
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
Implementation of popular deep learning networks with TensorRT network definition API
Transformer related optimization, including BERT, GPT
The Kalibr visual-inertial calibration toolbox
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
Lightning fast C++/CUDA neural network framework
🛠A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion, etc.🎉
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
Universal grid map library for mobile robotic mapping
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
High-performance C++ library for multiphysics and multibody dynamics simulations
Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.
YOLO ROS: Real-Time Object Detection for ROS