A machine learning toolkit

Language: C++
Platforms: Linux, Mac, Windows, etc.
License: CC0 (Public domain)

Main developers:

Mike Gashler


Luke B. Godfrey


Stephen C. Ashmore
GitHub Site




    Overviews and build instructions

  1. Overview of Waffles
  2. Building on Linux
  3. Building on OSX
  4. Building on Windows
  5. Using the waffles_wizard utility
  6. Change log
  7. List of contributors

    8. Generated Usage Docs (like man pages)

  8. waffles_audio
  9. waffles_cluster
  10. waffles_dimred
  11. waffles_generate
  12. waffles_learn
  13. waffles_plot
  14. waffles_recommend
  15. waffles_sparse
  16. waffles_transform
  17. waffles_ts

    18. Usage Examples

  18. Data Formats
  19. Visualizing Data
  20. Examples of using supervised learning
  21. Dimensionality Reduction
  22. Collaborative filtering
  23. Document classification

    24. Programming with Waffles

  24. Generated API Docs for the GClasses library
  25. Getting started coding with Waffles
  26. Overview of the demo apps
  27. Representing your data with the GMatrix class
  28. Coding with supervised learners
  29. Developing a new learning algorithm
  30. Serialization
  31. Adding a new tool to Waffles
  32. Overview of the most useful classes for ML
  33. Bayesian belief networks
  34. Neural networks

    35. Contributing to Waffles

  35. How to submit a bug report or feature request
  36. Contributions that would benefit this project
  37. Getting the latest source code from our Git repository
  38. How to become a developer on this project
  39. How to cite Waffles

    40. External resources

  40. A list of some free resources for learning about machine learning
  41. Some sources of data
  42. A big list of open source machine learning software