1o0ko/ml-kata

Simple examples of ML models

🥋 ml-kata 🥋

Repository containing sketches/brain-dead simple implementations of various ML algorithms or parts of thereof.

Standalone examples

NLP

• Beam search with trigram language model (a pedagogical implementation)
• Byte Pair Encoding for further experiments with character-level language models
• Forward pass of a char-CNN embedding

ML

• Gaussian Generative Model on MNIST
• Gaussian Mixture Generative Model on MNIST

CV

• Convolve an image with a filter
• CNN forward pass with vectorized convolution op

'Frameworky' examples

NLP

• n-gram generation with iterators
• n-gram language models with random sampling
• n-gram language models greedy decoding and beam search