This is my personal repository to submit my solutions to the test problems provided by ML4SCI as a selection test for GSOC'24.
| Title | Layout | Project | Description |
|---|---|---|---|
| Multi-Class Classification (Common Test 1) | gsoc_proposal | DEEPLENSE | Implementing multi-class classification. |
| DDPM (Specific Test 4) | gsoc_proposal | DEEPLENSE | Implementing denoising diffusion probabilistic model. [This will be my GSOC'24 proposal project] |
| SSL on Real Dataset | gsoc_proposal | DEEPLENSE | Implementing SSL Contrastive learning |
Image generated at first epoch
Image generated at 20th epoch
| Model Architecture | Number of epochs | Learning rate | Training Loss | Training Accuracy | Micro-average ROC-AUC | Macro-average ROC-AUC |
|---|---|---|---|---|---|---|
| ResNet18 | 50 | 1e-4 | 0.00114 | 1 | 1.0 | 1.0 |
| CNN | 50 | 1e-4 | 1.03 | 0.461 | 0.6626 | 0.64877 |
/Images%20Folder/ROC_ResNet18.png)
| Model Architecture | Number of epochs | Learning rate | Training Loss | Training Accuracy | Lensed AUC | Non Lensed ROC-AUC |
|---|---|---|---|---|---|---|
| Supervised Learning | 20 | 1e-4 | 0.7248 | 0.7083 | 0.9 | 0.9 |
| SSL with Rotation Augmentation | 20 | 1e-4 | 0.7336 | 0.6369 | 0.82 | 0.73 |
| SSL with Gaussian Augmentation | 20 | 1e-4 | 0.6209 | 0.7619 | 0.91 | 0.91 |
/Rotational/ROC-AUC.png)
/Gaussian/ROC-AUC.png)
Implemented a DDIM as a part of the Specific Test 4. 2 images generated from that model are shown below:
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent