Discover @linhduongtuan Open Source projects

Linh T. Duong (@linhduongtuan)

linhduongtuan

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Registered about 8 years ago
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Location 🇸🇪 Sweden
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BLOOM-LORA

Due to restriction of LLaMA, we try to reimplement BLOOM-LoRA (much less restricted BLOOM license here https://huggingface.co/spaces/bigscience/license) using Alpaca-LoRA and Alpaca_data_cleaned.json

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doctorwithbloom

We finetune Bloomz-7b1-mt using LoRA with the chatdoctor-200k dataset at here https://huggingface.co/LinhDuong/doctorwithbloomz-7b1-mt and https://huggingface.co/LinhDuong/doctorwithbloomz-7b1.

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Tuberculosis_ChestXray_Classifier

Classification for chest X ray images of tuberculosis using PyTorch, Timm, and modified EfficientNet family. This repo is implemented to our paper Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning" published on ESWA

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Covid-19_Xray_Classifier

Demo diagnosis tools for Covid-19 Chest Xray. This repo is implemented to our paper "Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning" on ASOC

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Polars_vs_Pandas

I try to compare performance of Polars and Pandas in reading large files using *csv, *parquet and *feather formats

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Brain_Tumor_MRI_Classifier

Modified and fine-tune SOTA models in PyTorch for Brain Tumors Classification

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GraphECGNet

The repository is associated with a paper titled "Fusion of edge detection and graph neural networks for classifying electrocardiogram signals," which was published in the Journal of Expert Systems with Applications.

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SIMM_Covid-19_CXR_Recognition

Repository for converting and resizing *dcm to *jpg and randomly spliting train/val datasets

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Fruits_Vegetables_Classifier_WebApp

Git for 120 Fruits & Vegetables classification and Webapp Deployment for our paper: Automated fruit recognition using EfficientNet and MixNet; https://doi.org/10.1016/j.compag.2020.105326

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data_explore_analysis_visualization

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DTU-typst-presentation

Covid19_Cough_classification

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GraphMammoNet

Using Graph Neural Networks combined with edge detection techniques to classify BI-RADS scores of Vietnamese mammograms. This repo is implemented to our paper, tilted "Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients" on ASOC

Kaggle_RSNA_Pneumonia-Detection-Challenge

Kaggle_RSNA_Pneumonia Detection Challenge 5th solutions

DeepWeeds_Classifier_WebApp

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Covid-19_CT_Classifier

Implementation of EfficientNet, MixNet, and TResNet families for COVID-19 Computed Tomography Scans Identification. This implements to our paper "Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning" published on ASOC

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