YimingShu-teay

YimingShu-teay's Stars

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook96.1k6918k15.6k

• hyunwoongko/transformer

  Transformer: PyTorch Implementation of "Attention Is All You Need"

  Language:Python3.1k1022449

• Farama-Foundation/HighwayEnv

  A minimalist environment for decision-making in autonomous driving

  Language:Python2.7k28468766

• facebookresearch/Mask2Former

  Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

  Language:Python2.6k28238394

• hku-mars/FAST-LIVO2

  FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry

  1.3k12347101

• hku-mars/FAST-LIVO

  A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).

  Language:C++1.3k46157207

• locuslab/mpc.pytorch

  A fast and differentiable model predictive control (MPC) solver for PyTorch.

  Language:Python9003139148

• waymo-research/waymax

  A JAX-based simulator for autonomous driving research.

  Language:Python856145999

• Svalorzen/AI-Toolbox

  A C++ framework for MDPs and POMDPs with Python bindings

  Language:C++650336098

• Henry1iu/TNT-Trajectory-Prediction

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

  Language:Python52366297

• tobegit3hub/ml_implementation

  Implementation of Machine Learning Algorithms

  Language:Python403135186

• stepankonev/waymo-motion-prediction-challenge-2022-multipath-plus-plus

  Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

  Language:Python379103173

• MCZhi/GameFormer

  [ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning

  Language:Python24791232

• pparmesh/Constrained_ILQR

  Language:Python2425375

• MCZhi/DIPP

  [TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving

  Language:Python22863645

• icsl-Jeon/traj_gen

  Optimal trajectory generation library given equality and inequality constraints (C++/Matlab)

  Language:HTML2213853

• HKUST-Aerial-Robotics/SIMPL

  SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving

  Language:Python21993028

• Bharath2/iLQR

  iterative Linear Quadratic Regulator with constraints.

  Language:Python1844541

• MCZhi/DTPP

  [ICRA 2024] Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning

  Language:Python17582626

• MCZhi/GameFormer-Planner

  [ICCV & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles

  Language:Python15852220

• MIT-REALM/neural_clbf

  Toolkit for learning controllers based on robust control Lyapunov barrier functions

  Language:Python13921544

• NVlabs/diffstack

  Implementation of DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles - a CoRL 2022 paper by Peter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone.

  Language:Python97718

• icsl-Jeon/traj_gen-matlab

  Optimal trajectory generation

  Language:MATLAB563216

• YimingShu-teay/Safety-critical-Decision-making-and-Control

  This is the source code for the research paper 'Safety-critical Decision-making and Control for Autonomous Vehicles with Highest Priority'.

  Language:Python171

• YimingShu-teay/Car-Following

  These codes were written a long time ago，which is simple for car following. The car in front can be in IDM mode or constant speed mode. It uses the car following dynamic model and MPC-DCBF controller（NLP problem solved by ipopt） to control the follower.

  Language:Python64

• YimingShu-teay/utils-for-NGSIM-data-process

  This code was written quite some time ago for the purpose of processing the NGSIM dataset. While it might not be the epitome of organization or efficiency, it should serve as a valuable starting point for those venturing into data processing.

  Language:Jupyter Notebook6110

• Promethe-us/Verbal-Tricks-of-Paper-Writing

  3100

• rawcola/Data_Cleaning_Demo

  Demo of data cleaning through anomaly detection.

  Language:Jupyter Notebook1

• rawcola/Gaussian-Splatting-Toolkit

  The Gaussian Splatting Toolkit is a cutting-edge collection of tools designed for new view synthesis using Gaussian splatting techniques, providing a novel explicit 3D representation for scene rendering.

  Language:Python100

• rawcola/gaustudio

  A Modular Framework for 3D Gaussian Splatting and Beyond

  1