Diffusion Models (2/2) - Google Colab experimentation with Code and Prebuilt Models
Prodramp
In this part 2/2 video, you will learn Diffusion Models with their theory and importance in text-to-image AI research along with various code implementations located at the GitHub.
Part 2 (This Video): (https://youtu.be/0uNri-aLk_o)
- Probabilistic Diffusion Models Code Implementation
- Prebuilt Models Note: - Try both in Google Colab Notebook
Part 1: (https://youtu.be/W2udr9Z73sA)
- Theory behind Diffusion
- How it works?
- Why it is important?
- Various implementation available in GitHub
GitHub Resources: https://github.com/prodramp/DeepWorks/tree/main/DiffusionModels
ā¬ā¬ā¬ā¬ā¬ā¬ ā° TUTORIAL TIME STAMPS ā° ā¬ā¬ā¬ā¬ā¬ā¬
- (00:00) What is covered ?
- (00:30) Topic Introduction
- (02:35) Code Implementation
- (03:35) Setting Source Data
- (07:10) Diffusion with constant variance schedule
- (08:07) Diffusion with dynamic variance schedule
- (09:28) Model Trainning
- (12:56) Reverse Diffusion Process
- (13:49) PreBuilt Models
- (15:00) Using PreBuilt Models
- (16:15) Generating Denoising Results
- (17:56) Validating Denoising Results
- (19:55) GitHub Resources
Connect
- Prodramp LLC (@prodramp)
- Website - https://prodramp.com
- LinkedIn - https://www.linkedin.com/company/prodramp
- GitHub- https://github.com/prodramp/
- AngelList - https://angel.co/company/prodramp
- Facebook - https://www.facebook.com/Prodramp
Content Creator: Avkash Chauhan (@avkashchauhan)
Tags: #diffusion #ai #deeplearning #cnn #ml #lime #aicloud #h2oai #driverlessai #machinelearning #cloud #mlops #model #collaboration #deeplearning #modelserving #modeldeployment #pytorch #datarobot #datahub #streamlit #modeltesting #codeartifact #dataartifact #modelartifact #onnx #aws #kaggle #mapbox #lightgbm #xgboost #classification #dataengineering #pandas #keras #tensorflow #tensorboard #cnn #prodramp #avkashchauhan #LIME #mli #xai ... https://www.youtube.com/watch?v=0uNri-aLk_o
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