BraveDrXuTF's repositories

vae-gan-code-for-reinforced-panel

You can treat it as a vae library, with many variations of vae including vae-gan.

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VOL

Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations

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DeepPreconditioning

Design preconditioners with a CNN to accelerate the conjugate gradient method.

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deepxde

A library for scientific machine learning and physics-informed learning

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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DINo

Time- and space-continuous neural PDE forecaster based on INRs and ODEs

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firedrake

Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)

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fourierflow

[ICLR 2023] Factorized Fourier Neural Operators

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get

Generative Equilibrium Transformer

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gismo

G+Smo (pronounced gismo or gizmo) is a C++ library for isogeometric analysis (IGA). Geometry plus simulation modules aims at the seamless integration of Computer-aided Design (CAD) and Finite Element Analysis (FEA).

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gorilla

Gorilla: An API store for LLMs

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hpddm

A framework for high-performance domain decomposition methods.

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jax-am

Additive manufacturing simulation with JAX.

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julia-mit

Tutorials and information on the Julia language for MIT numerical-computation courses.

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kbarchive

Microsoft KnowledgeBase Archive

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machine-learning-and-simulation

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

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MyResumeTemplate

This is my resume template. Please star it if you think it is useful.

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neuraloperator

Learning in infinite dimension with neural operators.

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PDEBench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

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PINA

Physics-Informed Neural networks for Advanced modeling

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PINNpapers

Must-read Papers on Physics-Informed Neural Networks.

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PyTorch-QuadConv

Quadrature-based convolutions for deep learning on unstructured and non-uniform mesh data.

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torchdyn

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

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