Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

A library for scientific machine learning and physics-informed learning

Must-read Papers on Physics-Informed Neural Networks.

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

A generative world for general-purpose robotics & embodied AI learning.

Code generation with CVXPY

HunyuanVideo: A Systematic Framework For Large Video Generation Model

Main repository of SageMath

A curated collection of tools and software packages for optimization and control

The Fastest Deep Reinforcement Learning Library

The Open Motion Planning Library (OMPL)

Gymnasium extension for DarkSouls III, Elden Ring, and other Souls games

Code for "TD-MPC2: Scalable, Robust World Models for Continuous Control"

The robotics development framework that makes deterministic replay testing possible.

Transforms your CasADi functions into batchable JAX-compatible functions. By combining the power of CasADi with the flexibility of JAX, JAXADi enables the creation of efficient code that runs smoot…

Next generation High-Power Rocketry 6-DOF Trajectory Simulation

Code for "Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter"

A modern computer algebra library for Python and Rust.

Robotic actuator test stand utilizing a Capstan Drive reducer

A CasADi Python wrapper for the acados integrators.

Code to build a cycling power meter based on Arduino

Bootcamp notebooks

Learning in infinite dimension with neural operators.

Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.

Fast symbolic computation, code generation, and nonlinear optimization for robotics

Generative and Graphical Inverse Kinematics