Naba Jyoti Borah

@Nabajyoti4

Python Developer with knowledge of FastAPI, Django and Data Engineering

Spark18 Jorhat

Followers

Following

Public Repos

Private Repos

Language Breakdown

Lines of code distribution across 53 owned repositories

103.7M Total LOC

Jupyter Notebook

99,034,862 lines

95.5%

N/A

JavaScript

2,180,775 lines

2.1%

N/A

Blade

925,971 lines

0.9%

N/A

PHP

545,864 lines

0.5%

N/A

HTML

452,078 lines

0.4%

N/A

Other

530,616 lines

0.5%

N/A

I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook

JavaScript

Blade

PHP

HTML

Collaboration Network

Global Impact visualization

LIVE

0 active collaborators

Repos

PRs

Growth

+18%

Top Collaborators

No collaborator data yet.

Coding Streak

Contribution activity over the past year

3 days

265

Contributions

Commits

Pull Requests

Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun

Based on GitHub activity

Less

Followers 8

Shyboy

@shyboy1044

Aisha Kaur

@scapelinked

Yousuf DealAmaze

@Yousuf-dealamaze

Avinash Kumar Maurya

@akmaurya31

Mohammad Hosseini

@moh-hosseini98

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Following

5 total

Rajan Sahu

@rajansahu713

Nicholas Renotte

@nicknochnack

Altaf Hussain

@Altaf-1

Jonas Schmedtmann

@jonasschmedtmann

Raju Moni Borah

@raju-borah

Synced via GitHub

Top Repositories

Todo-FastAPI

A API based appilication build on FastAPI

7 3

Python

Tea-Leaves-disease-detection-with-Object-detection

Using object detection to improve the detection of detecting small disease parts in Tea leaves and further converting the model to TFlite for usign in mobile devices

project

Tea-Leaves-Object-Detection-Web

MERN website to display our final year project of tea leaves disease detection suign object detection and segmentation

1 1

JavaScript

Tea-leaves-detection-with-Mask-RCNN

Trying to detect tea leaves of three classes using Mask RCNn , using PixelLib. And also with the help of segmented parts , trying to calculate the total diseased area in the leave

1 2

Jupyter Notebook

Rock-Paper-Scissor-mobilenet-browser-model

A transfer learning project based on rock paper scissor classification using tensorflow js in browser

vivpro assignment