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subhajitchatterjee07/pykit-learn

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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)

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

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