├── .gitignore ├── Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms.ipynb ├── Confidence Intervals on Regressions - Jackknife+.ipynb ├── Estimating Bias and Variance from Data.ipynb ├── Graph Neural Networks with OGB and Pytorch Geometric.ipynb ├── Incomplete Networks Analysis.ipynb ├── Kneedle.ipynb ├── PCA.ipynb ├── README.md ├── SHAP S-R-I.ipynb ├── Self-Training - Introduction.ipynb ├── Stop using the elbow criterion for k-means and how to choose the number of clusters instead.ipynb ├── Takens Embedding Theorem.ipynb ├── Weisfeiler Lehman Isomorphism Test.ipynb └── jax-library-and-mlp-implementation.ipynb /.gitignore: -------------------------------------------------------------------------------- 1 | networks/ 2 | .ipynb_checkpoints/ -------------------------------------------------------------------------------- /Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms.ipynb -------------------------------------------------------------------------------- /Confidence Intervals on Regressions - Jackknife+.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/Confidence Intervals on Regressions - Jackknife+.ipynb -------------------------------------------------------------------------------- /Estimating Bias and Variance from Data.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/Estimating Bias and Variance from Data.ipynb -------------------------------------------------------------------------------- /Graph Neural Networks with OGB and Pytorch Geometric.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/Graph Neural Networks with OGB and Pytorch Geometric.ipynb -------------------------------------------------------------------------------- /Incomplete Networks Analysis.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/Incomplete Networks Analysis.ipynb -------------------------------------------------------------------------------- /Kneedle.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/Kneedle.ipynb -------------------------------------------------------------------------------- /PCA.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/PCA.ipynb -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/README.md -------------------------------------------------------------------------------- /SHAP S-R-I.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/SHAP S-R-I.ipynb -------------------------------------------------------------------------------- /Self-Training - Introduction.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/Self-Training - Introduction.ipynb -------------------------------------------------------------------------------- /Stop using the elbow criterion for k-means and how to choose the number of clusters instead.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/Stop using the elbow criterion for k-means and how to choose the number of clusters instead.ipynb -------------------------------------------------------------------------------- /Takens Embedding Theorem.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/Takens Embedding Theorem.ipynb -------------------------------------------------------------------------------- /Weisfeiler Lehman Isomorphism Test.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/Weisfeiler Lehman Isomorphism Test.ipynb -------------------------------------------------------------------------------- /jax-library-and-mlp-implementation.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/TNanukem/paper_implementations/HEAD/jax-library-and-mlp-implementation.ipynb --------------------------------------------------------------------------------