This repository contains a collection of deep learning projects developed during my 6th semester coursework. These projects explore a range of advanced topics in computer vision and generative modeling using popular architectures like CNNs, GANs, WGAN-GP, and GoogLeNet.
All notebooks were developed and tested using Python (Jupyter Notebooks) and are also available on my Kaggle profile:
🔗 https://www.kaggle.com/adi2606
| File Name | Description |
|---|---|
colorlandscape-gan.ipynb |
GAN model trained to generate realistic landscape images from noise. |
deepfake-detection-images-videos.ipynb |
A project using CNNs to detect deepfakes in both images and video frames. |
face-aging-using-conditional-gan.ipynb |
Conditional GAN that simulates age progression on facial images. |
sign-language-recognition-with-cnn.ipynb |
CNN-based model for recognizing Sign Language gestures. |
wgan-gp-mnist-the-ultimate-pixel-showdown.ipynb |
Implementation of WGAN-GP on MNIST for stable training and better digit generation. |
This repository is licensed under the terms of the MIT License.
These projects were created as part of the academic curriculum in my 6th semester. They serve both as educational exercises and as demonstrations of practical deep learning applications.
If you find this work useful, consider visiting my Kaggle profile for more notebooks and competitions.
Feel free to fork, star , or contribute!