acse-sl420's Stars
BaratiLab/MeshDQN
Using deep reinforcement learning for refining meshes in computational fluid dynamics
flexi-framework/BlenderPipeline
Scripts and examples on how to visualize scientific data with Blender
deepchem/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
szzhang17/Scaling-Up-Graph-Neural-Networks-Via-Graph-Coarsening_DGL
vthost/DAGNN
A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong inductive bias besides other suitable architectural features.
JuXinglong/WFLOP_SUGGA_Python
Energy Conversion and Management - Wind farm layout optimization based on support vector regression guided genetic algorithm with consideration of participation among landowners
IvanYashchuk/jax-fenics-adjoint
Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
acse-sl420/jax-fenics-adjoint
Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
NREL/WPGNN
IBM/EvolveGCN
Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
nicolasbadano/GradientAMR
This project shows how to use the gradient of flow variables as a criteria to control Adaptive Mesh Refinement (AMR) for OpenFOAM simulations.
AsmaaHADANE/Youtube-Tutorials
Files used in my Youtube tutorials
Junyoungpark/PGNN
An official 're'-implementation of Physics-induced graph neural network: An application to wind-farm power estimation (PGNN).
NREL/floris
A controls-oriented engineering wake model.
GraphSAINT/GraphSAINT
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
acse-sl420/YouGraph
graph learning code for ogb
acse-sl420/AutoML-Tutorial
Tutorials about AutoML
danielegrattarola/GINR
Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
ZJULearning/graph_level_drug_discovery
tk-rusch/gradientgating
Gradient gating (ICLR 2023)
sangyx/gtrick
Bag of Tricks for Graph Neural Networks.
jjgarau/GNND
ytchx1999/PyG-OGB-Tricks
Bags of Tricks in OGB (node classification) with GCNs.
weiba/MTGCN
devnkong/FLAG
Official implementation of our FLAG paper (CVPR2022)
Qualcomm-AI-research/gauge-equivariant-mesh-cnn
zabaras/transformer-physx
Transformers for modeling physical systems
zabaras/deep-turbulence
Multi-fidelity Generative Deep Learning Turbulent Flows
gordicaleksa/pytorch-original-transformer
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
sukjulian/coronary-mesh-convolution
Official implementation of mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall