BaratiLab/OFormer

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38
Rank 706,870 (Top 14 %)
Language
Python
License
MIT License
Created over 1 year ago
Updated over 1 year ago

BaratiLab/OFormer

BaratiLab

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Diffusion-based-Fluid-Super-resolution

PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".

FaultNet

Jupyter Notebook

GAMD

Data and code for graph neural network accelerated molecular dynamics

Jupyter Notebook

AugLiChem

ThermalControlLPBF-DRL

Code implementation of the paper "Thermal Control of Laser Powder Bed Fusion using Deep Reinforcement Learning".

MeshDQN

Using deep reinforcement learning for refining meshes in computational fluid dynamics

FGN

Code repo for Fluid Graph Network

MeltpoolNet

MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning

Jupyter Notebook

FactFormer

Official implementation of Scalable Transformer for PDE surrogate modelling

ManufacturingNet

This is the repository for the ManufacturingNet project.

ROMER

Reduced-Order Modeling of Fluid Flows with Transformers

PDE-Identification-Features

Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features

Jupyter Notebook

Graphene-RL

PhysicsInformedTokenTransformer

Official repository for Physics Informed Token Transformer (PITT)

Adaptive-Grey-Wolf-Optimization-Algorithm-AGWO

SurrogateMeltPool_DL

Source code for Surrogate Modeling of Melt Pool Temperature Field using Deep Learning

Potential-Neutralizing-antibodies-discovered-for-novel-corona-virus-using-machine-learning

Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning

FluidGAN-TensorFlow

A TensorFlow framework for multi-physics phenomena (stationary, time-dependent) prediction using FluidGAN

LSTM-VAE-for-dominant-motion-extraction

Jupyter Notebook

Airfoil-GCNN

Graph Convolutional Networks for Unstructured Flow Fields

Hagen-Poiseuille-Flow-with-LSTM

Tutorial on using LSTM to predict Hagen-Poiseuille flow

Jupyter Notebook

StressD

Jupyter Notebook

Crazyswarm2-Docker

Setup of Crazyflie Swarm using a Docker image for ROS 2

MAB-OS

Multi-Armed Bandits Optimizer Selection

robomail

Package for scripts used by the MAIL lab at CMU for the Franka robot setup

AdaptiveSampling