FFOGAING's Stars
SimiPixel/chain_control
Neural ODE control for kinematic chains. Uses MuJoCo and JAX.
riddhiman13/predictive-multi-agent-framework
Repository for predictive dual-arm reactive motion planning
luhsoccer/luhsoccer_baguette
Our main robotics framework.
utiasDSL/safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
ultralytics/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
LeCoinStat/100JoursDeML
Repertoire pour tous les codes du challenge 100 jours de machine learning #100JoursDeML
mikeferguson/simple_grasping
ROS components for grasping
PRBonn/kiss-icp
A LiDAR odometry pipeline that just works
anuraghazra/github-readme-stats
:zap: Dynamically generated stats for your github readmes
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
ethz-adrl/control-toolbox
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
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.