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| 1. | | Show HN: Code Carbon-Estimate and track carbon emissions from ML models training (github.com/mlco2) | |
4 points by gidim on Dec 1, 2020 | past | 1 comment
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| 2. | | Show HN: Comet Panels – Custom visualizations for your ML experiments (comet.ml) | |
16 points by gidim on Aug 10, 2020 | past | 3 comments
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| 3. | | Predictive Early Stopping – A Meta Learning Approach (comet.ml) | |
1 point by gidim on April 22, 2020 | past
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| 4. | | How to Make Remote Work Effective for Data Science Teams (comet.ml) | |
3 points by gidim on March 23, 2020 | past
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| 5. | | How to make remote work effective for data science teams (comet.ml) | |
2 points by gidim on March 20, 2020 | past
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| 6. | | Estimating Uncertainty in Machine Learning Models (comet.ml) | |
2 points by gidim on Nov 28, 2019 | past
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| 7. | | Applying machine learning and deep learning methods to audio analysis (comet.ml) | |
93 points by gidim on Nov 26, 2019 | past | 20 comments
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| 8. | | Uber releases Ludwig 0.2 with audio improvements, plus Comet.ml integration (venturebeat.com) | |
1 point by gidim on July 24, 2019 | past
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| 9. | | Organizing machine learning projects: project management guidelines (medium.com/comet-ml) | |
1 point by gidim on May 24, 2019 | past
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| 10. | | The complete checklist for debugging neural networks (towardsdatascience.com) | |
10 points by gidim on March 18, 2019 | past | 1 comment
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| 11. | | Checklist for Debugging Neural Networks (towardsdatascience.com) | |
7 points by gidim on March 14, 2019 | past | 1 comment
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