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Hi ๐Ÿ‘‹, I'm Labib Chowdhury

A passionate ML Engineer and Researcher

jongli747

jongli747

Connect with me:

labib@747 labib-chowdhury-nsucse

Languages and Tools:

aws bash c cplusplus django docker flask gcp git linux matlab mongodb opencv pandas postgresql postman python pytorch redis scikit_learn seaborn sqlite tensorflow

jongli747

ย jongli747

Labib Chowdhury's Projects

al-folio icon al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

albumentations icon albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

breast-cancer-wisconsin-data icon breast-cancer-wisconsin-data

Here I implemented a neural network from scratch. The network has a single hidden layer with 12 node, input layer and output layer. The data was collected from UCI repository. This is a binary classification problem.

curricular-sincnet icon curricular-sincnet

[BIOSIG'2021] Curricular SincNet: Towards Robust Deep Speaker Recognition by Emphasizing Hard Samples in Latent Space.

facial-recognition-using-open-cv icon facial-recognition-using-open-cv

This is a simple facial recognition program. This is how it works- input a file path where your image is located which you want to detect then it creates another directory and detect all the faces of the inventory and cropped the detected face only and save it to the newly created directory.

finetuner icon finetuner

Finetuning any DNN for better embedding on neural search tasks

monusac-isbi-2020 icon monusac-isbi-2020

[ISBI'2020] 11th place solution to Multi-organ nuclei segmentation and classification challenge.

neuralwhat icon neuralwhat

Doesn't do anything useful yet, because we don't know what we are doing

pcam icon pcam

The PatchCamelyon (PCam) deep learning classification benchmark.

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