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GNNs to predict wind farm-wide power, local flow variables and damage-equivalent loads.

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

Hierarchical Reasoning Model Official Release

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Learn the basics of robotics through hands-on experience using ROS 2 and Gazebo simulation.

Random walk unit with memory

For an education purpose, from-scratch, single-file, python-only pose-graph optimization implementation

Simplifying reinforcement learning for complex game environments

LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.

Partially Observable Process Gym

Deep Reinforcement Learning: Zero to Hero!

Playing Pokemon Red with Reinforcement Learning

Mamba SSM architecture

D-Adaptation for SGD, Adam and AdaGrad

Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)

IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)

The official implementation of EIGNN: Efficient Infinite-Depth Graph Neural Networks (NeurIPS 2021)

Graph Signal Processing in Python

A simple framework that automatically generates SU2 configuration (.cfg) files and make calls to SU2 to perform aeroelastic simulations all within Python. The Matrix Pencil method is then used to c…

Geometric deep learning for surface parsing from 3-D triangular meshes

PyAero is an open-source airfoil contour analysis and CFD meshing tool.