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1. tinyshap tinyshap Public

   Python package providing a minimal implementation of the SHAP algorithm using the Kernel method

   Jupyter Notebook 7 1

2. disjunctive-normal-networks disjunctive-normal-networks Public

   PyTorch implementation of Disjunctive Normal Networks

   Jupyter Notebook 2

3. from-scratch from-scratch Public

   Machine Learning implementations from scratch. Using minimal dependencies this collection intends to cover fundamental machine learning algorithms: from linear regression to neural networks

   Python 6

4. underactuated underactuated Public

   Python implementations of Optimal Control and Optimization algorithms for simulated underactuated systems and walking robots

   Python 6 4

5. neural-network-distillation neural-network-distillation Public

   Simple demonstration of the Knowledge Distillation framework with neural networks

   Jupyter Notebook 4 2

6. constrainedlr constrainedlr Public

   Drop-in replacement of sklearn's Linear Regression with coefficients constraints

   Python 7