Ningchj's Stars
naturerobots/mesh_navigation
Mesh Navigation Stack
NMBURobotics/vox_nav
A navigation system for outdoor robotics in rough uneven terrains.
sdwyc/history-aware-planner
The open-sourced repo for our paper
FastSense/mppic
jianzhuozhuTHU/putn
ZJU-FAST-Lab/uneven_planner
An Efficient Trajectory Planner for Car-like Robots on Uneven Terrain
TUM-AVS/Frenetix-RL
Reinforcment Learning accelerated Motion Planning Algorithm based on Frenetix and Frenetix_Motion_Planner
lssac7778/Off-road-Benchmark
A New Open-Source Off-road Environment for Benchmark Generalization of Autonomous Driving
WeThinkIn/Interview-for-Algorithm-Engineer
【三年面试五年模拟】AI算法工程师面试秘籍。涵盖AIGC、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、SLAM、具身智能、元宇宙、AGI等AI行业面试笔试经验与干货知识。
projectchrono/chrono
High-performance C++ library for multiphysics and multibody dynamics simulations
mocibb/manopt_cpp
rock-slam/slam-mtk
MTK is a toolkit that provides easy mechanisms to enable arbitrary algorithms to operate on manifolds. Forked from https://openslam.org
hku-mars/IKFoM
A computationally efficient and convenient toolkit of iterated Kalman filter.
OpenSLAM-org/openslam_MTK
MTK repos from OpenSLAM.org
ZJU-FAST-Lab/3D2M-planner
wavelab/wave_geometry
Manifold geometry with fast automatic derivatives and coordinate frame semantics checking
pkicki/cnp-b
Neural network-based constrained kinodynamic motion planner
thaipduong/SE3HamDL
Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"
hku-mars/FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
zhm-real/PathPlanning
Common used path planning algorithms with animations.
open-mmlab/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
mctorch/mctorch
A manifold optimization library for deep learning
pymanopt/pymanopt
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
geoopt/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
czczup/ViT-Adapter
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
dk-liang/Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
PaddlePaddle/PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
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
open-mmlab/mmpretrain
OpenMMLab Pre-training Toolbox and Benchmark