Welcome666Hzz

Welcome666Hzz's Stars

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.3k3129304.8k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.1k1134121.4k

• google-research/vision_transformer

  Language:Jupyter Notebook10.5k1052071.3k

• krahets/LeetCode-Book

  《剑指 Offer》 Python, Java, C++ 解题代码，LeetBook《图解算法数据结构》配套代码仓

  Language:Java6.4k517757

• zhedahht/CodingInterviewChinese2

  《剑指Offer：名企面试官精讲典型编程面试题》第二版源代码

  Language:C++5.3k149822.2k

• mdbloice/Augmentor

  Image augmentation library in Python for machine learning.

  Language:Python5.1k123196866

• hwanz/SSR-V2ray-Trojan

  机场推荐与机场评测

  4k530105

• TingsongYu/PyTorch-Tutorial-2nd

  《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

  Language:Jupyter Notebook2.6k1025287

• NVlabs/SegFormer

  Official PyTorch implementation of SegFormer

  Language:Python2.6k31155358

• ai-winter/ros_motion_planning

  Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pure Pursuit etc.

  Language:C++2.3k1976346

• ZJU-FAST-Lab/ego-planner

  Language:C++1.5k21104296

• SwinTransformer/Swin-Transformer-Semantic-Segmentation

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

  Language:Python1.2k1292222

• teddyluo/hybrid-a-star-annotation

  Hybrid A*路径规划器的代码注释

  Language:C++7701010242

• lxtGH/Awesome-Segmentation-With-Transformer

  [T-PAMI-2024] Transformer-Based Visual Segmentation: A Survey

  69910548

• wh200720041/iscloam

  Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

  Language:C++5782330134

• VincentWong3/automatic-driving-decision-and-planning-for-matlab

  Language:MATLAB55173234

• Henry1iu/TNT-Trajectory-Prediction

  A Unofficial Pytorch Implementation of TNT: Target-driveN Trajectory Prediction

  Language:Python51666195

• LimHyungTae/patchwork

  SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)

  Language:C++487132374

• HKUST-Aerial-Robotics/grad_traj_optimization

  Gradient-Based Online Safe Trajectory Generator

  Language:C++3681416109

• PaddleCV-SIG/EISeg

  高效交互式语义分割标注软件EISeg 『Efficient and intelligent interactive segmentation annotation software』

  Language:Python343711550

• MMehrez/MPC-and-MHE-implementation-in-MATLAB-using-Casadi

  This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL ... Casadi can be downloaded here https://web.casadi.org/

  Language:MATLAB34189136

• leggedrobotics/viplanner

  ViPlanner: Visual Semantic Imperative Learning for Local Navigation

  Language:Python338103535

• bubbliiiing/segformer-pytorch

  这是一个segformer-pytorch的源码，可以用于训练自己的模型。

  Language:Python28523936

• HuaiyuanXu/3D-Occupancy-Perception

  [Information Fusion 2024] A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective

  2547221

• DQSSSSS/VectorNet

  VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement

  Language:Python2366546

• Dangko/ego-planner-for-ground-robot

  Language:C++16411127

• sisl/MPOPIS

  Adaptive importance sampling modification to MPPI

  Language:Julia822712

• NithishkumarS/DWA-RL

  Novel reinforcement learning based local planner that accounts for the dynamic constraints of the robot to enable smooth robot trajectories. Reward shaping is done to enable a spatially aware navigation.

  Language:Python653611

• jojolee6513/Marsegdataset

  17122

• lijun-mce/dwa_local_planner

  dwa源码注释与解读

  Language:C++20