Table of Contents for Notebooks

Here you can find a list of notebooks that contain accompanying and hands-on material to the chapters you find in this course. Feel free to browse them at your own speed and interest.

Chapter Title	Notebooks	Colabs
Unit 0 - Welcome	No Notebook	No Colab
Unit 1 - Fundamentals	No Notebook	No Colab
Unit 2 - Convolutional Neural Networks	Transfer Learning with VGG19	Transfer Learning with VGG
	Using ResNet with timm	timm_Resnet
Unit 3 - Vision Transformers	Detection Transformer (DETR)	Detection Transformer (DETR)
	Fine-tuning Vision Transformers for Object Detection	Fine-tuning Vision Transformers for Object Detection
	Knowledge Distillation	Knowledge Distillation
	LoRA Fine-tuning for Image Classification	LoRA Fine-tuning for Image Classification
	Fine-tuning for Multilabel Image Classification	Fine-tuning for Multilabel Image Classification
	Transfer Learning for Image Classification	Transfer Learning for Image Classification
	Transfer Learning for Image Segmentation	Transfer Learning for Image Segmentation
	Swin Transformer	Swin Transformer
Unit 4 - Multimodal Models	Clip Crop	Clip Crop
	Fine-tuning CLIP	Fine-tuning CLIP
	Clustering with CLIP	Clustering with CLIP
	Image Classification with CLIP	Image Classification with CLIP
	Image Retrieval with Prompts	Image Retrieval with Prompts
	Image Similarity	Image Similarity
Unit 5 - Generative Models	No Notebook	No Colab
Unit 6 - Basic CV Tasks	Fine-tune SAM on Custom Dataset	Fine-tune SAM on Custom Dataset
Unit 7 - Video and Video Processing	Fine-tune ViViT for Video Classification	Fine-tune ViViT for Video Classification
Unit 8 - 3D Vision, Scene Rendering, and Reconstruction	No Notebook	No Colab
Unit 9 - Model Optimization	Edge TPU	Edge TPU
	ONNX	ONNX
	OpenVINO	OpenVINO
	Optimum	Optimum
	TensorRT	TensorRT
	TMO	TMO
	Torch	Torch
Unit 10 - Synthetic Data Creation	Dataset Labeling with OWLv2	Dataset Labeling with OWLv2
	Generating Synthetic Lung Images	Generating Synthetic Lung Images
	BlenderProc Examples	BlenderProc Examples
	Image Labeling with BLIP-2	Image Labeling with BLIP-2
	Synthetic Data Creation with SDXL Turbo	Synthetic Data Creation with SDXL Turbo
Unit 11 - Zero Shot Computer Vision	No Notebook	No Colab
Unit 12 - Ethics and Biases	No Notebook	No Colab
Unit 13 - Outlook	No Notebook	No Colab

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