Anathema-Odious's Stars
flyteorg/flyte
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
StanfordASL/stlcg
vincekurtz/stlpy
A python library for control from Signal Temporal Logic (STL) specifications
sundw2014/STLPlanning
Path planning from STL (Signal Temporal Logic) specifications
Space-Robotics-Laboratory/rlstar
RL STaR is a platform for creating AI for robotic applications. Researchers can share their work in the form of new robots or new tasks. Everything was made in a modular fashion to be easy to use and easy to share.
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
Wigner-GPU-Lab/Teaching
Material used for teaching.
onqtam/awesome-cmake
A curated list of awesome CMake resources, scripts, modules and examples.
RobotnikAutomation/rbcar_sim
Robotnik Car Simulation Packages
bulletphysics/bullet3
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
utiasDSL/safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
HJReachability/fastrack
A ROS implementation of Fast and Safe Tracking (FaSTrack).
brycedoerr/SwarmRFSControl
ILQR and MPC Control of Swarms using Random Finite Set Theory
woven-planet/l5kit
L5Kit - https://woven.toyota
aikorea/awesome-rl
Reinforcement learning resources curated
GTLIDAR/safe-nav-locomotion
RoboticExplorationLab/TrajectoryOptimization.jl
A fast trajectory optimization library written in Julia
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
VerifiableRobotics/LTLMoP
A toolkit for designing and implementing LTL-based task specifications.
UM-ARM-Lab/pytorch_kinematics
Robot kinematics implemented in pytorch
RossHartley/invariant-ekf
C++ library to implement invariant extended Kalman filtering for aided inertial navigation.
michiganrobotics/rob101
Pilot course for Robotics 101: Computational Linear Algebra
sisl/MADRL
Repo containing code for multi-agent deep reinforcement learning (MADRL).
sisl/MultiAgentVariationalOcclusionInference
Multi-agent occlusion inference using observed driver behaviors. A driver sensor model is learned using a conditional variational autoencoder. Information from multiple drivers is fused into an ego vehicle's map using evidential theory.
Ayanzadeh93/Udacity-Advance-Lane-detection-of-the-road
Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sobel operator, gradient of magnitude and direction, and HLS color space), camera calibration and unwarping (distortion correction and perspective transform), and polynomial fitting for the lanes.
JeffLIrion/udacity_car_nanodegree_project01
https://jefflirion.github.io/udacity_car_nanodegree_project01/
kenshiro-o/CarND-LaneLines-P1
Lane Finding Project for Self-Driving Car ND
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
giacomo-b/CppRobotics
Header-only C++ library for robotics, control, and path planning algorithms. Work in progress, contributions are welcome!
michalnand/motoko_uprising