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1.
▲
Show HN: CartelMania: A more-or-less remake of the old 80s BannerMania software
(github.com/hernandp)
3 points
hernandipietro
9 years ago
discuss
2.
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Show HN: Linkom: A single-header C command line parsing library with COM binding
(github.com/hernandp)
2 points
hernandipietro
10 years ago
discuss
3.
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A powerful tool for prediction engineering
(github.com/FeatureLabs)
3 points
jeff-hernandez
6 years ago
discuss
4.
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Generate training data for supervised learning
(github.com/FeatureLabs)
2 points
jeff-hernandez
6 years ago
discuss
5.
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Build training examples without manually labeling
(github.com/FeatureLabs)
2 points
jeff-hernandez
6 years ago
discuss
6.
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Using automation to label time-driven data
(github.com/FeatureLabs)
2 points
jeff-hernandez
6 years ago
discuss
7.
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Structuring the labeling process for supervised learning
(github.com/FeatureLabs)
2 points
jeff-hernandez
6 years ago
discuss
8.
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Automated Data Labeling
(github.com/FeatureLabs)
2 points
jeff-hernandez
6 years ago
discuss
9.
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Labeling data more effectively for supervised learning
(github.com/FeatureLabs)
2 points
jeff-hernandez
6 years ago
discuss
10.
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Compose: An ML tool for labeling data
(github.com/FeatureLabs)
1 point
jeff-hernandez
6 years ago
1 comment
11.
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Easily define prediction tasks for ML
(github.com/FeatureLabs)
1 point
jeff-hernandez
6 years ago
discuss
12.
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Building Better Training Examples
(github.com/FeatureLabs)
1 point
jeff-hernandez
6 years ago
discuss
13.
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Label Generation for ML
(github.com/FeatureLabs)
1 point
jeff-hernandez
6 years ago
discuss
14.
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A cross-domain framework for labeling data
(github.com/FeatureLabs)
1 point
jeff-hernandez
6 years ago
discuss