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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 ...)