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1.
Show HN: Krisi, report forecasting performance over time (github.com/dream-faster)
4 points
szemy2
3 years ago
discuss
2.
The dark side of Graph Neural Networks (appliedexploration.com)
125 points
szemy2
4 years ago
37 comments
3.
We ended up building a Time-Series Cross-Validation library from scratch (appliedexploration.com)
17 points
szemy2
3 years ago
5 comments
4.
Say Goodbye to Collapsed Metrics: Track Your Time-Series Predictions over Time (appliedexploration.com)
9 points
szemy2
3 years ago
4 comments
5.
Machine Learning on Graphs should be the future of AI (appliedexploration.com)
5 points
szemy2
4 years ago
1 comment
6.
See the future with Adaptive Machine Learning (appliedexploration.com)
4 points
szemy2
3 years ago
2 comments
7.
Show HN: I built a Time-Series AI engine for faster forecasts (appliedexploration.com)
4 points
szemy2
3 years ago
discuss
8.
The dark side of Graph Neural Networks (appliedexploration.com)
3 points
legothief
4 years ago
discuss
9.
Zen and the Art of Generalisation (appliedexploration.com)
2 points
szemy2
4 years ago
1 comment
10.
Stop Worrying and Love Graphs (appliedexploration.com)
2 points
szemy2
4 years ago
discuss
11.
I Learned to Stop Worrying and Love Graphs (appliedexploration.com)
2 points
szemy2
4 years ago
discuss
12.
Zen and the Art of Generalization (appliedexploration.com)
1 point
szemy2
4 years ago
discuss
13.
Reporting Performance on a Single Dataset? (appliedexploration.com)
1 point
szemy2
4 years ago
discuss