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vmspereira
SI
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Merge pull request #17 from vmspereira/fix/nn-package-shadowing
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#79:
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Fix the nn/util package shadowing, and give eval7 the explanation it was missing
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#78:
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#17
opened by
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2m 23s
fix/nn-package-shadowing
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Merge pull request #16 from vmspereira/docs/improve-notebooks
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#77:
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Strengthen eval1-eval5 and eval7: evaluate on held-out data, explain the interesting parts
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#76:
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#16
opened by
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5m 50s
docs/improve-notebooks
docs/improve-notebooks
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Merge pull request #15 from vmspereira/fix/eval6-and-multiclass-accuracy
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#75:
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Make eval6 evaluate its RNN; fix multiclass_accuracy on sequences and RNN.__str__
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#74:
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#15
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2m 45s
fix/eval6-and-multiclass-accuracy
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Make eval6 evaluate its RNN; fix multiclass_accuracy on sequences and RNN.__str__
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#73:
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#15
opened by
vmspereira
2m 41s
fix/eval6-and-multiclass-accuracy
fix/eval6-and-multiclass-accuracy
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Merge pull request #14 from vmspereira/feat/toy-llm
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#72:
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Add a character-level toy language model, refresh the README, and cover the remaining models in notebooks (attention PR 3/3)
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#71:
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2m 17s
feat/toy-llm
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Add a character-level toy language model, refresh the README, and cover the remaining models in notebooks (attention PR 3/3)
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#70:
Pull request
#14
opened by
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2m 31s
feat/toy-llm
feat/toy-llm
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Merge pull request #13 from vmspereira/feat/post-norm-transformer
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Use post-norm in TransformerBlock, as published
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#68:
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2m 5s
feat/post-norm-transformer
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Merge pull request #12 from vmspereira/feat/transformer-block
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Add multi-head attention, TransformerBlock, Embedding and positional encoding (attention PR 2/3)
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#66:
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#12
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3m 31s
feat/transformer-block
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Merge pull request #11 from vmspereira/feat/attention-prerequisites
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#65:
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Add scaled dot-product self-attention, LayerNorm, and N-D Dense (attention PR 1/3)
CI-CD
#64:
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#11
opened by
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2m 17s
feat/attention-prerequisites
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Merge pull request #10 from vmspereira/fix/dataset-ndim-regression
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#63:
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Fix regression: Dataset rejected RNN sequence and CNN image tensors
CI-CD
#62:
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#10
opened by
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2m 37s
fix/dataset-ndim-regression
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Merge pull request #9 from vmspereira/fix/kmeans-pca-knn-audit
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#61:
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Fix KMeans NaN centroids, PCA re-fitting on transform, KNN regression cost, LinearRegression on singular designs
CI-CD
#60:
Pull request
#9
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2m 16s
fix/kmeans-pca-knn-audit
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Merge pull request #8 from vmspereira/fix/nn-layers-audit
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#59:
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Audit layers.py and cnn.py: fix BatchNorm eps and inference leak, add input validation and gradient guards
CI-CD
#58:
Pull request
#8
opened by
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2m 20s
fix/nn-layers-audit
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Merge pull request #7 from vmspereira/fix/data-module-audit
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#57:
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Fix 11 silent-failure bugs in si/data: SelectKBest picking constant features, scaler NaNs, encoder validation
CI-CD
#56:
Pull request
#7
opened by
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1m 44s
fix/data-module-audit
fix/data-module-audit
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Merge pull request #6 from vmspereira/fix/class-labels-across-classif…
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#55:
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