/applied-ml-minicourse

Primary LanguageJupyter Notebook

Applied ML Minicourse

Chapters

  1. Introduction and App Use-Case
  2. Components of the App
  - Diffusion Models
  - Hugging Face (Spaces)
  - Gradio
  - Vector Search
  - GCP Cloud Storage
  1. Generating Images with Diffusion Open In Colab
  2. Semantic Similarity Open In Colab
  3. Semantic Search with Vector DBs Open In Colab
  4. Applying Semantic Search to Diffusion Open In Colab
  5. Getting Started with GCP Cloud Storage
  6. Adding Images to GCP Cloud Storage Open In Colab
  7. Populating the Index Open In Colab
  8. Making Queries Open In Colab
  9. Introduction to Gradio
  10. Building a Gradio ML App Open In Github
  11. Introduction to Hugging Face Spaces
  12. Hugging Face Spaces Secrets Open In Colab
  13. Adding Gradio App to Spaces Open In Github