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1. Neha-Shrestha/Text-to-Image-Generator Neha-Shrestha/Text-to-Image-Generator Public

   Final year project of BSc. CSIT on Text-to-Image generator system using a Latent Diffusion Model, leveraging Python, PyTorch, VAEs and U-Net to generate realistic images from textual prompts.

   Jupyter Notebook 2

2. ResNetFoodie ResNetFoodie Public

   Transfer Learning of ResNet50 for Nepali Food Classification.

   Python

3. ResNet-Implementation ResNet-Implementation Public

   "Deep Residual Learning for Image Recognition" by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun

   Python

4. VGG-Implementation VGG-Implementation Public

   "Very Deep Convolutional Networks for Large-Scale Image Recognition" by Karen Simonyan and Andrew Zisserman.

   Python

5. U-Net-Implementation U-Net-Implementation Public

   "U-Net: Convolutional Networks for Biomedical Image Segmentation" by Olaf Ronneberger, Philipp Fischer and Thomas Brox

   Python