Stars
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
Material for the "Programming for AI" course in the "Applied Artificial Intelligence and its Mathematical Foundations" degree at UPV/EHU
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Efficiently computes derivatives of NumPy code.
A high-throughput and memory-efficient inference and serving engine for LLMs
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Shallow Recurrent Decoder for Nuclear Reactors applications
Reduced order modeling with shallow recurrent decoder networks
A 15TB Collection of Physics Simulation Datasets
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
A generative world for general-purpose robotics & embodied AI learning.
[Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled Training; Rollout Metrics)
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
PDEBench: An Extensive Benchmark for Scientific Machine Learning
The modern replacement for Jupyter Notebooks
📈 Adaptive: parallel active learning of mathematical functions
RBniCS - reduced order modelling in FEniCS (legacy)
Latxa: An Open Language Model and Evaluation Suite for Basque
Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data
mathLab / PyDMD
Forked from PyDMD/PyDMDmathLab mirror of Python Dynamic Mode Decomposition
Physics-Informed Neural networks for Advanced modeling