Assignments and final project of Deep Learning (M2177.003100) lecture, at 2023 Autumn.

• Tutorials on numpy, matplotlib and PyTorch

• Training CNN with PyTorch
• Implementing Transformer form scratch
• Training Vision Transformer
• Finetuning BERT

• Implementing and training DDPM(Denoising Diffusion Probabilistic Models)
• Trying TTI(Text-to-Image) models

• Prompt engineering for TTI - generating a image similar to the given image
• Red-teaming Large Language Models - encouraging toxic expressions.
• Improving Dialog Safety - increasing safety score of BlenderBot