Project Description

This repository contains my solutions to the GSoC-2023 challenges hosted by ML4Sci. The directory is broken into 3 main directory:

• Task-1 - Contains the solution for Task-1 problem
• Task-2 - Contains the solution for Task-2 problem
• Task-5 - Contains the solution for Task-5 problem

There is one additional directory called gsoc_notes which contains my detailed approach discussion for Task-1 and Task-5.

The directory structure is as follows:

.
├── Task-1/
│   ├── results/
│   ├── EDA_with_baseline.ipynb
│   └── Resnet_Effnet.ipynb
├── Task-2/
│   ├── results/
│   ├── EDA_with_baseline.ipynb
│   └── Effnet.ipynb
├── Task-5/
│   ├── results/
│   └── ViT_Classification.ipynb
└── gsoc_notes/
    ├── imgs/
    ├── Task-1 Approach.md
    └── Task-5 Approach.md

The notebooks with EDA at the begining showcases the Exploratory Data Analysis of the data for that task and a baseline model for that task.

Libraries used

• PyTorch Lightning - pip install lightning
• rich - pip install rich
• Hugging Face Transformers - pip install transformers
• Astropy - pip install astropy
• Albumentations - pip install albumentations
• wandb - pip install wandb

Experiment Tracks

• Task-1 : https://wandb.ai/lmorningstar/GSOC23-Task1?workspace=user-lmorningstar
• Task-5 : https://wandb.ai/lmorningstar/GSoC23-Task5?workspace=user-lmorningstar
• Task-2 : https://wandb.ai/lmorningstar/GSoC23-Task2?workspace=user-lmorningstar

Model Weights

https://drive.google.com/file/d/1WyGh6q9mdvOMG-DwuIEIM2gWa95Z-VqU/view?usp=sharing