Skip to content

This repo contains implementations (generally from scratch of several machine learning and deep learning algorithms, and also Generative models

Notifications You must be signed in to change notification settings

subhajitchatterjee07/pykit-learn

Repository files navigation

This Repository hosts all important concepts in Machine Learning, Deep Learning and Generative Models

I am trying to implement them all from scratch.

Models implemented till date:

  1. Linear Regression
  2. Logistic Regression
  3. Decision Trees and Random Forests
  4. Stone-Grad ( A dynamic reverse-mode autodiff engine)
  5. Bigram Language Model
  6. Probabilistic Language Model
  7. Encoder-decoder Transformer Model (Attention is all you need)
  8. Stone-gippity ( Ultra Small GPT implementation)
  9. Stone-gippity-2 (soon)

About

This repo contains implementations (generally from scratch of several machine learning and deep learning algorithms, and also Generative models

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published