maroun96's Stars
idaholab/moose
Multiphysics Object Oriented Simulation Environment
philtabor/ProtoRL
A Torch Based RL Framework for Rapid Prototyping of Research Papers
GazzolaLab/PyElastica
Python implementation of Elastica, an open-source software for the simulation of assemblies of slender, one-dimensional structures using Cosserat Rod theory.
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
nzolman/sindy-rl
Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
sfujim/TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
cor3bit/pyautonlp
JAX Implementation of Differentiable NLP Solvers
nikihowe/myriad
Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
i-abr/OptimalControlTutorials
Optimal Control Tutorials
naver/roma
RoMa: A lightweight library to deal with 3D rotations in PyTorch.
JaxGaussianProcesses/GPJax
Gaussian processes in JAX.
EnzymeAD/Enzyme
High-performance automatic differentiation of LLVM and MLIR.
google/jax-cfd
Computational Fluid Dynamics in JAX
metaopt/torchopt
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
facebookresearch/theseus
A library for differentiable nonlinear optimization
vicrsp/rto
RTO
facebookresearch/Pearl
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
stack-of-tasks/pinocchio
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
pnnl/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Tim-Salzmann/l4casadi
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
samcoveney/basisGP
Gaussian processes with explicit basis functions
OpenMDAO/dymos
Open Source Optimization of Dynamic Multidisciplinary Systems
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
greydanus/hamiltonian-nn
Code for our paper "Hamiltonian Neural Networks"
caidao22/pnode
A Python library for training neural ODEs.
patrick-kidger/lineax
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
amq92/simple_slurm
A simple Python wrapper for Slurm with flexibility in mind.