A machine learning toolkit


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

Main developers:

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    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)

  9. waffles_audio
  10. waffles_cluster
  11. waffles_dimred
  12. waffles_generate
  13. waffles_learn
  14. waffles_plot
  15. waffles_recommend
  16. waffles_sparse
  17. waffles_transform
  18. Usage Examples

  19. Data Formats
  20. Visualizing Data
  21. Examples of using supervised learning
  22. Dimensionality Reduction
  23. Collaborative filtering
  24. Document classification
  25. Programming with Waffles

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

  38. How to submit a bug report or feature request
  39. Contributions that would benefit this project
  40. Getting the latest source code from our Git repository
  41. How to become a developer on this project
  42. How to cite Waffles
  43. External resources

  44. A list of some free resources for learning about machine learning
  45. Some sources of data
  46. A big list of open source machine learning software






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