Rushidave10's Stars
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
uncertainty-toolbox/uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
dynamicslab/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
bambinos/bambi
BAyesian Model-Building Interface (Bambi) in Python.
Kaixhin/imitation-learning
Imitation learning algorithms
UM-ARM-Lab/pytorch_mppi
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
HiroIshida/robust-tube-mpc
Example implementation for robust model predictive control using tube
eurika-kaiser/SINDY-MPC
mdolab/pyoptsparse
pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner.
upb-lea/awesome-open-source-power-electronics
Lists open source power electronic tools
helgeanl/GP-MPC
MPC with Gaussian Process
hilo-mpc/hilo-mpc
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
hcnoh/gail-pytorch
A simple implementation of Generative Adversarial Imitation Learning with PyTorch
WilsonWangTHU/POPLIN
Autonomous-Racing-PG/ar-tu-do
ROS & Gazebo project for 1/10th scale self-driving race cars
ezliu/dream
Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning
navuboy/gail_gym
Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
geckocircuits/GeckoCIRCUITS
GeckoCIRCUITS is a fast and easy-to-use circuit simulator optimized for power electronics.
younggyoseo/CaDM
CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
CodeAndAction/DDQN-Car-Racing
A self driving machine learning algorithm
bertcarnell/lhs
Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples
ae-foster/dad
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
arpg-sophisticated/ar-tu-do
ROS & Gazebo project for 1/10th scale self-driving race cars
upb-lea/meta_RL_PMSM
Meta Reinforcement Learning-Based CurrentControl of Permanent Magnet Synchronous MotorDrives for a Wide Range of Power Classes
NagisaZj/MetaCURE-Public
CORE-SNU/MPC-PEARL
Implementation of MPC-PEARL
max-schenke/EdgeRL
Edge Reinforcement Learning for Motor Control
max-schenke/DESSCA
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning
TimSchneider42/aerm
Code for our IROS 2022 paper "Active Exploration for Robotic Manipulation"