Glory Bagai

Glory Bagai

@Kuzay3t

Researcher

Federal University of Technology, Minna Lagos, Nigeria
19
Followers
51
Following
55
Public Repos
0
Private Repos

Language Breakdown

Lines of code distribution across 45 owned repositories

116.8M Total LOC
Jupyter Notebook
116,211,269 lines
99.5%
N/A
TypeScript
229,288 lines
0.2%
N/A
C++
168,380 lines
0.1%
N/A
Python
92,172 lines
0.1%
N/A
MATLAB
82,162 lines
0.1%
N/A
Other
10,757 lines
0.0%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook
TypeScript
C++
Python
MATLAB

Collaboration Network

Global Impact visualization

LIVE
Glory Bagai
0 active collaborators

Repos

56

PRs

0

Growth

+18%

Top Collaborators

No collaborator data yet.

Coding Streak

Contribution activity over the past year

1 day
206
Contributions
162
Commits
0
Pull Requests
Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun
Mo
We
Fr
Based on GitHub activity
Less
More

Top Repositories

leonidk.github.io

a fork of https://jonbarron.info/ for use in jekyll builds with markdown page updates

1 0
SCSS
naija-nutri-hub

GenAI and Image-based food classifier that returns nutritional estimates, recipe suggestions, and nearby restaurants — built with Azure AI Services.

1 0
Python
Augumented-Dataset-with-SMOTE-NN

A physics-guided machine learning pipeline for detecting and localizing pipeline leaks. This project generates CFD-consistent synthetic data, engineers fluid-mechanics features, and trains models to predict leak positions. Includes full data cleaning, augmentation, modeling, and evaluation workflow.

1 0
Jupyter Notebook
Domain-Shift-Aware-Parameter-Efficient-Fine-Tuning-for-Malaria-Detection-in-Low-Resource-Settings
0 0
Jupyter Notebook
cassava-leaf-disease-classification

A deep learning project comparing 4 PyTorch models (ResNet50, DenseNet121, EfficientNetB0, ViT) for cassava leaf disease classification with Grad-CAM visualization

0 0
Python
ViT-NAS-Compression

Hardware-Aware NAS Framework for Efficient Vision Transformers.

0 0
Jupyter Notebook
Comparative-Study-of-Learning-Rate-Sensitivity-in-YOLOv12-for-Multi-Class-Road-Detection-

Comparative analysis of five learning rates (0.1, 0.01, 0.001, 0.0001, 1e-5) on YOLOv12-Large for multi-class road anomaly detection (potholes, speedbumps, cracks) using the Ultralytics framework.

0 0
TReND-CaMinA

TReND school in Comp Neuro and ML

0 0
Jupyter Notebook
Resource-Efficient-ML-Inference-API-for-Low-Compute-Devices

I built a lightweight, production-style ML inference API that demonstrates how compressed models can be deployed efficiently on low-resource systems

0 0
Python
AgriLingua
0 0
TypeScript

Open Source Impact

Contributions to external projects

0 merged PRs

No external contributions found.