https://github.com/afondiel/how-diffusion-models-work-crash-course-dlai

Diffusion Models crash course with Pytorch from DeepLearningAI
https://github.com/afondiel/how-diffusion-models-work-crash-course-dlai

computer-vision conditional-diffusion conditional-generation diffusion-models genai generative-ai latent-diffusion latent-space unconditional-generation vision-models

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Diffusion Models crash course with Pytorch from DeepLearningAI

• Host: GitHub
• URL: https://github.com/afondiel/how-diffusion-models-work-crash-course-dlai
• Owner: afondiel
• Created: 2024-10-14T14:47:13.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-11-14T13:56:58.000Z (about 2 months ago)
• Last Synced: 2024-11-14T14:42:41.432Z (about 2 months ago)
• Topics: computer-vision, conditional-diffusion, conditional-generation, diffusion-models, genai, generative-ai, latent-diffusion, latent-space, unconditional-generation, vision-models
• Language: Jupyter Notebook
• Homepage: https://learn.deeplearning.ai/courses/diffusion-models/lesson/1/introduction
• Size: 6.93 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# **How Diffusion Models Work - DeepLearningAI Crash Course**

## Overview

Learn and build diffusion models from the ground up, understanding each step. Learn about diffusion models in use today and implement algorithms to speed up sampling.

Instructor: [Sharon Zhou - @LAMINI_AI](https://x.com/realsharonzhou)

## Course Outline

- Introduction

- Intuition

- Sampling

- Neural Network

- Training

- Controlling

- Speeding Up

- Summary

## Lab: Lectures & Notebooks

|Chapters|Notebooks|Demos|

|--|--|--|

|[Introduction](./lab/chapters/slides/00_intro/)|-|-|

|[Intuition](./lab/chapters/slides/01_intuition/)|-|-|

|[Sampling](./lab/chapters/slides/02_sampling/)|[L1_Sampling.ipynb](./lab/notebooks/L1_Sampling/L1_Sampling.ipynb)|-|

|[Neural Network](./lab/chapters/slides/03_neuralnet/)|[L1_Sampling.ipynb (follow-up)](./lab/notebooks/L1_Sampling/L1_Sampling.ipynb)|-|

|[Training](./lab/chapters/slides/04_training/)|[L2_Training.ipynb](./lab/notebooks/L2_Training/L2_Training.ipynb)|-|

|[Controlling](./lab/chapters/slides/05_controlling/)|[L3_Context.ipynb](./lab/notebooks/L3_Context/L3_Context.ipynb)|-|

|[Speeding Up](./lab/chapters/slides/06_speeding-up/)|[L4_FastSampling.ipynb](./lab/notebooks/L4_FastSampling/L4_FastSampling.ipynb)|-|

|[Summary](./lab/chapters/slides/07_summary/)|-|-|

## References

- [Main Course - DeepLearning.AI](https://www.deeplearning.ai/short-courses/how-diffusion-models-work/)