HN Explorer

neuhaus

↗ HN profile [ 88.0 ms ] full profile
Karma
316
Created
September 9, 2013 (13y ago)
Submissions
0
  1. Google is investigating Android 14's multiple profile update bug (theverge.com)
    2 points 1
  2. Brexit deal calls for DNA profiles to use a 20-year-old email app (theverge.com)
    2 points 0
  3. Learn Document Embeddings with Amazon SageMaker Object2Vec (aws.amazon.com)
    3 points 0
  4. Classifying Facial Emotions via Machine Learning – Sumit Kumar Singh – Medium (medium.com)
    2 points 1
  5. [1812.02342] Arbitrary Style Transfer with Style-Attentional Networks (arxiv.org)
    2 points 0
  6. Movie genre prediction with the Object2Vec algorithm (github.com)
    25 points 0
  7. AWS Object2Vec: Deep Learning for objects such as customers, products, sentences (aws.amazon.com)
    3 points 0
  8. [1811.02549] Language GANs Falling Short (arxiv.org)
    4 points 0
  9. Chainer implementation of “BERT: Pre-training (github.com)
    3 points 0
  10. Amazon SageMaker NTM supports auxiliary vocabulary channel, etc. (aws.amazon.com)
    2 points 0
  11. What HBR Gets Wrong About Algorithms and Bias (fast.ai)
    6 points 0
  12. Ditching Windows: 2 Weeks with Ubuntu Linux on the Dell XPS 13 (forbes.com)
    16 points 1
  13. Nabla containers: new approach to container isolation (nabla-containers.github.io)
    2 points 0
  14. An Overview of Regularization Techniques in Deep Learning (with Python Code) (analyticsvidhya.com)
    3 points 0
  15. Hypothesis: property-based testing for Python (hypothesis.readthedocs.io)
    2 points 0
  16. “People Don’t Buy Products, They Buy Better Versions of Themselves.” (medium.com)
    2 points 0
  17. A groundbreaking study outlines what you can do about climate change. – Grist (grist.org)
    1 points 0
  18. How can I encode large categorical data (more than 100)? (quora.com)
    1 points 0
  19. Switchable Normalization (github.com)
    2 points 0
  20. Human labor is propping up some companies’ fake AI software (technologyreview.com)
    1 points 0
  21. The rise of 'pseudo-AI': how tech firms quietly use humans (amp.theguardian.com)
    1 points 1
  22. “An Overview of National AI Strategies” (medium.com)
    3 points 0
  23. “An Overview of National AI Strategies”

    “An Overview of National AI Strategies” @TimDutton_ https://medium.com/politics-ai/an-overview-of-national-ai-strategies-2a70ec6edfd

    1 points 0
  24. Updates to the XGBoost GPU algorithms (xgboost.ai)
    2 points 0
  25. A Brief Introduction to Adversarial Examples – Gradient Science (people.csail.mit.edu)
    2 points 0