Pinned Repositories
100-days-of-python
🐍 The Complete Python Pro Bootcamp for 2021
100days
100 days of algorithms
3DOD_thesis
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
60_Days_RL_Challenge
Learn Deep Reinforcement Learning in Depth in 60 days
AA203-Examples
Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
aa228-notebook
IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University
active-bayesian-coresets
chaotic-maps
A ruby library to encrypt image or text inputs based on chaotic maps.
neural-mpc
Real-time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
Ranked-List-Loss-for-DML
CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission
xuannadi's Repositories
xuannadi/neural-mpc
Real-time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
xuannadi/awesome-robotics
A curated list of awesome links and software libraries that are useful for robots.
xuannadi/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
xuannadi/BeautifulAlgorithms.jl
Concise and beautiful algorithms written in Julia
xuannadi/DI-engine
OpenDILab Decision AI Engine
xuannadi/goalgail
accompanying code for neurips submission "Goal-conditioned Imitation Learning"
xuannadi/handful-of-trials
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
xuannadi/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
xuannadi/learning-safety-in-mpc-based-rl
Safety-aware MPC-based RL framework
xuannadi/legged_control
Nonlinear MPC and WBC framework for legged robot based on OCS2 and ros-controls
xuannadi/linorobot
Autonomous ground robots (2WD, 4WD, Ackermann Steering, Mecanum Drive)
xuannadi/linorobot2
Autonomous mobile robots (2WD, 4WD, Mecanum Drive)
xuannadi/lyapunov-based-nn-constriants-input
Lyapunov-based neural network control with input saturation constraints
xuannadi/mav_active_3d_planning
Modular framework for online informative path planning.
xuannadi/ml-casadi
Use PyTorch Models with CasADi and Acados
xuannadi/mpc-reinforcement-learning
Reinforcement Learning with Model Predictive Control
xuannadi/mpc_ros
Differential Wheeled Mobile Robot - Nonlinear Model Predictive Control based on ROS
xuannadi/mrpt
:zap: The Mobile Robot Programming Toolkit (MRPT)
xuannadi/mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
xuannadi/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
xuannadi/NMPC-DCLF-DCBF
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
xuannadi/notebook
Collection of jupyter notebooks for demonstrating software.
xuannadi/otto
a Python package to simulate, solve and visualize the source-tracking POMDP
xuannadi/quadrotor_mpc
Model Predictive Control of a quadrotor for trajectory tracking.
xuannadi/rayen
Imposition of Hard Convex Constraints on Neural Networks
xuannadi/rotors_simulator
RotorS is a UAV gazebo simulator
xuannadi/slambook-en
The English version of 14 lectures on visual SLAM.
xuannadi/unitree_ros_to_real
xuannadi/unreal_cv_ros
Unreal CV ROS Perception Simulator
xuannadi/varibad
Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)