physics & simulation: 69 curated resources
physics & simulation
69 resources · page 2 of 3
CityLearn: Your first simulation
by CityLearn (Intelligent Environments Lab, UT Austin)
CityLearn quickstart: tutorial for running a first building-energy simulation for reinforcement-learning control.
Getting Started with PyHealth
by PyHealth project (Sunlab, UIUC)
PyHealth getting-started guide for building and evaluating healthcare AI models on EHR data.
DeepChem: An Introduction to MoleculeNet
by DeepChem
DeepChem tutorial introducing MoleculeNet datasets for molecular property prediction in drug discovery.
matminer examples: Predicting bulk modulus
by Hacking Materials Research Group
Matminer example notebook predicting materials bulk modulus with machine learning.
armory-library: Getting Started
Armory-library getting-started guide: Python library for evaluating adversarial robustness of ML models.
robomimic: Getting Started
by robomimic
robomimic getting-started guide with a quickstart notebook for training imitation-learning policies on robot arms.
Introduction to TorchGeo
TorchGeo introductory tutorial on loading geospatial datasets and training land-cover segmentation models.
AIRI report 2024 (EN PDF)
by AIRI (Artificial Intelligence Research Institute)
AIRI 2024 annual report (PDF) describing the Russian AI institute's research groups and results.
Amazon Science blog
Amazon Science blog with research posts and papers from Amazon scientists on machine learning and AI.
NASA ProgPy: Modeling and Sim Guide
by NASA
NASA ProgPy guide to building and simulating prognostics models for component degradation.
Grid2Op getting started: small example notebook
by Grid2Op
Grid2Op small-example notebook showing how to simulate power-grid control with agents.
exoplanet-ml: AstroNet
Google Research AstroNet README: training and evaluating a neural network that classifies exoplanet transits.
Anomalib in 15 Minutes
by Anomalib project (Open Edge Platform)
Anomalib 15-minute tutorial: training a model to detect visual anomalies in a dataset.
WeatherNext 1 Graph (GraphCast) guide
Google DeepMind WeatherNext 1 Graph (GraphCast) documentation for medium-range weather forecasting.
Open Data Science
Open Data Science (ODS.ai): Russian-speaking data science community with courses, events and competitions.
Physics-informed machine learning (Nature Reviews Physics)
by George Em Karniadakis et al. (Brown University)
Nature Reviews Physics review (2021) of physics-informed machine learning.
Scanpy: Preprocessing and clustering 3k PBMCs
Scanpy tutorial on preprocessing and clustering 3k PBMC single-cell RNA-seq data.
Actuarial Data Science
by Swiss Association of Actuaries (Actuarial Data Science)
Actuarial Data Science site from the Swiss Association of Actuaries with tutorials and notebooks applying ML to insurance.
Autoware Documentation
Autoware documentation: open-source autonomous-driving software stack, with architecture, setup and deployment guides.
CARLA
by CARLA team
CARLA simulator documentation: setup, Python API, sensors and scenarios for autonomous-driving research.
DeepONet (Lu et al.)
by Lu Lu et al. (Brown University)
arXiv paper (2019) introducing DeepONet for learning nonlinear operators of differential equations.
Fourier Neural Operator (Li et al.)
arXiv paper (2020) introducing the Fourier Neural Operator for learning parametric PDE solutions.
Intern-S1: A Scientific Multimodal Foundation Model
by Lei Bai et al. (Shanghai AI Laboratory)
arXiv PDF (2025) of the Intern-S1 technical report, Shanghai AI Laboratory's scientific multimodal model.
Learning to Simulate Complex Physics with Graph Networks (GNS)
by Alvaro Sanchez-Gonzalez et al. (Google)
arXiv paper (2020) introducing Graph Network-based Simulators (GNS) for learning complex particle physics.
MeshGraphNets
by Tobias Pfaff et al. (Google)
arXiv paper (2020) introducing MeshGraphNets for learning mesh-based physical simulation.
MoveIt
MoveIt 2 documentation: ROS 2 framework for robot motion planning, manipulation and perception, with tutorials.
Neural Operator: Learning maps between function spaces
by Nikola Kovachki et al. (Caltech)
arXiv paper (2021) "Neural Operator: Learning Maps Between Function Spaces", the general framework covering Fourier and graph neural operators for PDEs.
NVIDIA cuOpt
by NVIDIA
NVIDIA cuOpt user guide: GPU-accelerated solver for routing and other optimisation problems.
Physics-informed deep learning (Raissi et al.)
by Maziar Raissi et al. (Brown University)
arXiv paper (2017) introducing physics-informed neural networks (PINNs) for data-driven solutions of nonlinear PDEs.
PX4 computer-vision and ROS integration
by PX4 Autopilot (Dronecode Foundation)
PX4 Autopilot user guide: open-source drone flight control software with simulation, ROS and computer-vision integration.
robomimic
by robomimic
robomimic site: framework and demonstration datasets for robot learning from demonstration.
SUMO
by German Aerospace Center (DLR)
SUMO documentation: open-source microscopic traffic simulator from DLR, used in traffic-control research.