Pooriya Jamie

Pooriya Jamie

@pooriya-jamie
UCLA Los Angeles, California
14
Followers
6
Following
18
Public Repos
0
Private Repos

Language Breakdown

Lines of code distribution across 17 owned repositories

15.9M Total LOC
Jupyter Notebook
15,506,604 lines
97.5%
N/A
Python
246,043 lines
1.5%
N/A
JavaScript
94,757 lines
0.6%
N/A
CSS
28,345 lines
0.2%
N/A
HTML
13,313 lines
0.1%
N/A
Other
11,238 lines
0.1%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook
Python
JavaScript
CSS
HTML

Collaboration Network

Global Impact visualization

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Pooriya Jamie
0 active collaborators

Repos

20

PRs

0

Growth

+18%

Top Collaborators

No collaborator data yet.

Coding Streak

Contribution activity over the past year

2 days
190
Contributions
6
Commits
0
Pull Requests
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Top Repositories

IU-Xray-Report-Generation

IU-Xray-Report-Generation is a project aimed at generating medical reports from chest X-ray images. The project leverages advanced deep learning techniques to automatically interpret X-ray images and produce comprehensive and accurate reports.

7 0
Jupyter Notebook
DataScience-Bootcamp

Welcome to my Data Science Bootcamp projects repository! This repository houses the code for a collection of projects completed during my immersive Data Science Bootcamp.

2 0
Jupyter Notebook
ProtoPNet

This repository contains code adapted from the ProtoPNet project (https://github.com/cfchen-duke/ProtoPNet) for the classification of medical images. The primary dataset used for this adaptation is the MedMNIST dataset (https://medmnist.com/), specifically focusing on the PneumoniaMNIST subset.

1 0
Jupyter Notebook
audit-pipline-demo
0 0
JavaScript
pooriya-jamie
0 0
ISIC2016-Classification
0 0
Jupyter Notebook
pooriya-jamie.github.io

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

0 0
HTML
Clustring-With-Genetic-Algorithm

This project implements a Genetic Algorithm for clustering the Iris dataset. The goal is to optimize the clustering process by using a genetic algorithm, which aims to enhance the accuracy and efficiency of clustering.

0 0
Jupyter Notebook
Credit-Card-Fraud-Detection

This project focuses on detecting credit card fraud using machine learning techniques. The goal is to develop a model that can accurately classify credit card transactions as either fraudulent or legitimate based on various features.

0 0
Jupyter Notebook
Kakuro
0 0
Python

Open Source Impact

Contributions to external projects

0 merged PRs

No external contributions found.