Deep-Learning-Problems

Basics

• 00 Numpy Tutorial

• 01 ANN (Only using Numpy)

• 02 CNN (Only using Numpy)

• 03 RNN (Only using Numpy)

• 04 Pytorch - Classification (Resnet model from scratch)

• 05 Pytorch - Regression (basics)

Transformer-based Models

• 01 Monocular Depth Estimation (using transformer library and pre-trained model)

• 02 Translation using Attention Mechanism (from scratch)

• 03 Stable Duffision using Attention Mechanism (from scratch but pre-trained model weights used for inference)

• 04 Paligemma from scratch (working ...)