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History: 2 commits

yusiwen

feat(ml): add GBDT and random forest implementations

18d624d unverified about 8 hours ago

__init__.py

0 Bytes
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
decision_tree.ipynb

1.76 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
decision_tree.py

13.7 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
decision_tree.yaml

37 Bytes
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
gbdt.ipynb

1.98 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
gbdt.py

6.78 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
gbdt.yaml

91 Bytes
feat(ml): add GBDT and random forest implementations about 8 hours ago
k_means.ipynb

1.73 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
k_means.py

5.69 kB
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
k_means.yaml

41 Bytes
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
knn.ipynb

1.76 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
knn.py

4.18 kB
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
linear_regression.ipynb

1.8 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
linear_regression.py

7 kB
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
linear_regression.yaml

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refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
logistic_regression.ipynb

1.83 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
logistic_regression.py

4.73 kB
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
logistic_regression.yaml

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refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
naive_bayes.ipynb

1.93 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
naive_bayes.py

4.71 kB
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
pca.ipynb

1.74 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
pca.py

4.26 kB
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
perceptron.ipynb

1.73 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
perceptron.py

4.3 kB
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
perceptron.yaml

49 Bytes
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
random_forest.ipynb

1.91 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
random_forest.py

5.53 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
random_forest.yaml

91 Bytes
feat(ml): add GBDT and random forest implementations about 8 hours ago
svm.ipynb

1.87 kB
feat(ml): add GBDT and random forest implementations about 8 hours ago
svm.py

14.5 kB
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
svm.yaml

122 Bytes
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago
tsne.py

7.36 kB
refactor: restructure into domain-grounded directories (ml/ cv/ gen/ graph/ rl/ nlp/) 8 days ago