This is the repository where I put what I have learn about various machine learning algorithms.
The folder structure describes what I am interested in learning in the near future.
| Main Folder | Category / Subtask | Remarks / Status |
|---|---|---|
| Neural Networks: Audio | Loading and Playing Audio | Done, Using IPython and Torch Audio |
| Fast Fourier Transform | Done, Using SciPy | |
| Training a Model | Done, 3 Classes (Ambient, Forward, Backwards) | |
| Testing on audio recorded from mic | Done, using PyAudio and it worked pretty well | |
| Neural Networks: Vision | Base / Classification | Planned for learning basic CNN, Residual Blocks, Inception Blocks |
| Detection | Planned for learning to extend the base modules to be able to do detection | |
| Segmentation | Planned for learning to extend the base modules to be able to do segmentation | |
| Neural Networks: Natural Language Processing | Nil | Planned for learning to work with Natural Language |
| Decision Trees | Nil | Planned for learning Gradient Boosted Decision Trees |