yakunouyang's Stars
lassepe/peters2024ral-code
Code for the RA-L 2024 paper "Contingency Games for Multi-Agent Interactions."
metab0t/PyOptInterface
Efficient modeling interface for mathematical optimization in Python
zhu-edward/DGSQP
A Python implmentation of the Dynamic Game SQP algorithm
brechtevens/GPG-drive
Simulator for interacting dynamical systems using generalized potential games
jart/blink
tiniest x86-64-linux emulator
rerun-io/rerun
Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
hnuthesis/hnuthesis
湖南大学硕士学位论文 LaTeX 模板
Future-Scholars/paperlib
An open-source academic paper management tool.
ASGuard-UCI/PlanFuzz
PlanFuzz is a novel dynamic testing tool for discovering semantic DoS vulnerability in AD behavioral planning (NDSS 2022)
raymondyfei/lbfgsb-gpu
An open source library for the GPU-implementation of L-BFGS-B algorithm
jsk-ros-pkg/jsk_visualization
jsk visualization ros packages
embedded-software-laboratory/cpm_lab
schmrlng/SeparatingAxisTheorem2D.jl
spacedriveapp/spacedrive
Spacedrive is an open source cross-platform file explorer, powered by a virtual distributed filesystem written in Rust.
gzuidhof/starboard-notebook
In-browser literate notebooks
Hedgehog-Computing/hedgehog-lab
Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.
JunoLab/atom-latex-completions
Easy Unicode input for Atom
meco-group/omg-tools
Optimal Motion Generation-tools: motion planning made easy
lexus2k/tinyproto
Tiny Software Protocol for communication over UART, SPI, etc
libai1943/MVTP_benchmark
libai1943/CartesianPlanner
Source codes of “Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method” published in IEEE Trans. Intelligent Transportation Systems
casadi/casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.