Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

Last update: Jun 16, 2022

Overview

Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

This is the repository for the paper "Single Red Blood Cell Hydrodynamic Traps Via the Generative Design" submitted to Micromachines journal.

In the paper, the evolutionary approach implemented in GEFEST framework was applied to optimize the structure of geometrically-encoded cell traps.

Experiments folder contains the scripts that run the optimization for the described case. Setup contains the wrapper for the COMSOL simulator and the configuration for the simulation environment. Results folder contains the structure of best obtained configuration.

Owner

Natural Systems Simulation Lab

Natural Systems Simulation Lab in ITMO University

GitHub Repository

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Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

Related tags

Overview

Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

Owner

Natural Systems Simulation Lab

UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis"

ArcaneGAN by Alex Spirin

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code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.

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Compare GAN code.

a reccurrent neural netowrk that when trained on a peice of text and fed a starting prompt will write its on 250 character text using LSTM layers

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Repo for code associated with Modeling the Mitral Valve.

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Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

Related tags

Overview

Single Red Blood Cell Hydrodynamic Traps Via the Generative Design

Owner

Natural Systems Simulation Lab

UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis"

ArcaneGAN by Alex Spirin

Official PyTorch implementation of BlobGAN: Spatially Disentangled Scene Representations

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning

.NET bindings for the Pytorch engine

Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

An official TensorFlow implementation of “CLCC: Contrastive Learning for Color Constancy” accepted at CVPR 2021.

Neural Message Passing for Computer Vision

Einshape: DSL-based reshaping library for JAX and other frameworks.

U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection

Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet

Compare GAN code.

a reccurrent neural netowrk that when trained on a peice of text and fed a starting prompt will write its on 250 character text using LSTM layers

Face and Body Tracking for VRM 3D models on the web.

PoseCamera is python based SDK for human pose estimation through RGB webcam.

Repo for code associated with Modeling the Mitral Valve.

Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation

What can linearized neural networks actually say about generalization?

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.