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.
DeepPreconditioning
Design preconditioners with a CNN to accelerate the conjugate gradient method.
deepxde
A library for scientific machine learning and physics-informed learning
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
DINo
Time- and space-continuous neural PDE forecaster based on INRs and ODEs
firedrake
Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)
fourierflow
[ICLR 2023] Factorized Fourier Neural Operators
get
Generative Equilibrium Transformer
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).
gorilla
Gorilla: An API store for LLMs
hpddm
A framework for high-performance domain decomposition methods.
jax-am
Additive manufacturing simulation with JAX.
julia-mit
Tutorials and information on the Julia language for MIT numerical-computation courses.
kbarchive
Microsoft KnowledgeBase Archive
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)
MyResumeTemplate
This is my resume template. Please star it if you think it is useful.
neuraloperator
Learning in infinite dimension with neural operators.
PDEBench
PDEBench: An Extensive Benchmark for Scientific Machine Learning
PINA
Physics-Informed Neural networks for Advanced modeling
PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
PyTorch-QuadConv
Quadrature-based convolutions for deep learning on unstructured and non-uniform mesh data.
torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods