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7 search results found

Deepxde ⭐ 2,135

A library for scientific machine learning and physics-informed learning

Scimlbook ⭐ 1,722

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

Neuralpde.jl ⭐ 864

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Diffeqflux.jl ⭐ 810

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

18s096sciml ⭐ 268

18.S096 - Applications of Scientific Machine Learning

Componentarrays.jl ⭐ 258

Arrays with arbitrarily nested named components.

Koopmanlab ⭐ 138

A library for Koopman Neural Operator with Pytorch.

Highdimpde.jl ⭐ 61

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

Tensordiffeq ⭐ 60

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

Mljc Unito Projectx 2020 Public ⭐ 29

Public repository for the proposal “Physics-Informed Machine Learning Simulator for Wildfire Propagation” - MLJC University of Turin - ProjectX2020 Competition (UofT AI)

Deep_kolmogorov ⭐ 18

Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)

Robust neural network surrogate for inertial confinement fusion

Scimlbenchmarksoutput ⭐ 13

SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance

PECANNs: Physics and Equality Constrained Artificial Neural Networks

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