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Weights & Biases

Company blog · wandb.com/articlesaiprogramming

Weights & Biases is the company blog at wandb.com, writing about ai and programming. Since 2018, 17 different Hacker News readers have linked it 39 times, most often “How to Build a Machine Learning Team When You Are Not Google or Facebook”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
39mentions?
17HN people?
2018–2020first – last linked?
Links on Hacker News per year · peak 25 in 2019

Too few sampled comments (4) to say how often HN recommends it.?

Why HN links it

HN readers link Weights & Biases for its machine learning experiment-tracking tools and a podcast interview with Jeremy Howard. The comments cite the company's tools and podcast rather than judging its writing.

Summarised by Claude from a sample of 4 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Learn why thousands of companies rely on W&B as their system of record for training AI models and developing AI applications with confidence.

Most-linked posts?

  1. How to Build a Machine Learning Team When You Are Not Google or Facebook
    2 people · 2 mentions · first linked 2018-10-29
  2. Fast.ai and why Python is not the future of ML with Jeremy Howard
    2 people · 2 mentions · first linked 2020-09-08
  3. Show HN: Experiment Tracking for Machine Learning
    2 people · 2 mentions · first linked 2019-03-27
  4. I trained a robot to play The Witness
    2 people · 2 mentions · first linked 2019-05-31
  5. /
    2 people · 2 mentions · first linked 2019-06-11

What Hacker News says?

  1. lukas · 2018-03-01
    Weights and Biases | Engineer and Designer | SF | Full-time We're three experienced technical founders building machine learning tools. We're well funded with some traction but we're still a very small team. We're looking for: full stack engineer https://www.wandb.com/job-full-stack-engineer product design lead https://www.wandb.com/job-product-design

    Comment linking /job-product-design

    on “Ask HN: Who is hiring? (March 2018)”
  2. cvphelps · 2019-07-03

    Submitted Image to LaTeX as a story · 121 points

    HN discussion
  3. samzer · 2019-06-11
    This is like an app store of ml models which is pretty cool. There are a couple of tooling around ML that more of compliments the above than being redundant. -- Open Source -- Mlflow : https://github.com/mlflow/mlflow Polyaxon : https://github.com/polyaxon/polyaxon Modelchimp(mine): https://github.com/ModelChimp/modelchimp ModelDB : https://github.com/mitdbg/modeldb Sacred : https://github.com/IDSIA/sacred -- Non op…

    Comment linking /

    on “Towards Reproducible Research with PyTorch Hub”
  4. tosh · 2020-09-08

    Submitted Fast.ai and why Python is not the future of ML with Jeremy Howard as a story · 74 points

    HN discussion
  5. slewis · 2020-09-03
    Shameless plug: my company Weights & Biases ( https://wandb.com ) has tackled this in a different way. We make tools to keep track of results across your pipelines regardless of how you choose to orchestrate execution. This is one of our big selling points: very simple on-ramp to reproducible tracking, and infrastructure agnosticism. These have led to broad adoption across companies and academics. We also have a pre…

    Comment linking /

    on “Pachyderm Hub: data science without the hassle of managing infrastructure”
  6. celestialsalut · 2019-09-26

    Submitted Sudo write me a program: GitHub releases the ImageNet for Code as a story · 8 points

    HN discussion
  7. lukas · 2019-05-02
    This stuff looks super cool. I’m a fan of pytorch and can’t help but add a shameless plug for the ML experiment management tools I built - https://www.wandb.com/blog/monitor-your-pytorch-models-with-...

    Comment linking /blog/monitor-your-pytorch-models-with-five-extra-lines-of-code

    on “PyTorch adds new dev tools”
  8. cvphelps · 2019-06-19

    Submitted Deep Learning and Climate Change as a story · 8 points

    HN discussion
  9. ed_elliott_asc · 2020-09-08
    I watched an interview with him, his end goal is no code machine learning so when he is saying python isn’t the future it is because he prefers a type system that can’t be achieved with python. I agree that users don’t care, I use Spark a lot and don’t care if I write scala, python or even c# now. Have a listen: https://www.wandb.com/podcast/jeremy-howard (I think I have paraphrased the podcast correctly :) )

    Comment linking /podcast/jeremy-howard

    on “Fast.ai and why Python is not the future of ML with Jeremy Howard”
  10. lukas · 2019-05-30

    Submitted W&B Raises $15M for Deep Learning Experiment Tracking as a story · 7 points

    HN discussion
  11. coolspot · 2020-07-28
    Check out cool tools by Weights and Biases: https://www.wandb.com/

    Comment linking /

    on “Otto: Friendly Machine Learning Assistant”
  12. lshukla · 2019-08-23

    Submitted MNIST – A Deep Dive as a story · 6 points

    HN discussion
  13. lukas · 2019-07-30
    I totally agree with this and I built wandb (wandb.com) to solve this problem. We try to do this in as lightweight a way as possible - for example we can do keras tracking with a single line ( https://www.wandb.com/articles/visualize-keras-models-with-o... ) and pytorch with just a couple lines ( https://www.wandb.com/articles/monitor-your-pytorch-models-w... ). Would love any feedback on it.

    Comment linking /articles/monitor-your-pytorch-models-with-five-extra-lines-of-code

    on “Run tracking liberates ML teams”
  14. vanpelt · 2020-02-27

    Submitted How I made our cloud software self-hostable in a single Docker container as a story · 5 points

    HN discussion
  15. lukas · 2019-03-27

    Submitted Show HN: Experiment Tracking for Machine Learning as a story · 5 points

    HN discussion
  16. cvphelps · 2019-05-31

    Submitted I trained a robot to play The Witness as a story · 4 points

    HN discussion
  17. slewis · 2018-10-29

    Submitted How to Build a Machine Learning Team When You Are Not Google or Facebook as a story · 4 points

    HN discussion
  18. cegwandb · 2019-11-07

    Submitted Exploring Deep Learning Hyperparameters with Random Forests as a story · 3 points

    HN discussion
  19. slewis · 2019-07-31

    Submitted Intro to Pyenv for Machine Learning as a story · 3 points

    HN discussion
  20. kzil · 2019-07-19

    Submitted Object Detection with RetinaNet as a story · 3 points

    HN discussion
  21. cvphelps · 2019-06-11

    Submitted Multi-GPU Hyperparameter Sweeps in Three Simple Steps as a story · 3 points

    HN discussion
  22. lukas · 2019-04-29

    Submitted Monitoring PyTorch Experiments as a story · 3 points

    HN discussion
  23. lukas · 2018-11-13

    Submitted How to build a machine learning team when you are not Google or Facebook as a story · 3 points

    HN discussion
  24. sebg · 2020-09-11

    Submitted How to win Kaggle competitions with Anthony Goldbloom as a story · 2 points

    HN discussion
  25. MindGods · 2020-07-16

    Submitted Productionizing machine learning models, one change at a time with Josh Tobin as a story · 2 points

    HN discussion
  26. kzil · 2019-09-17

    Submitted Open source ML projects share visualizations without an account as a story · 2 points

    HN discussion
  27. lukas · 2019-06-25

    Submitted Generating Domain Names with GPT-2 as a story · 2 points

    HN discussion
  28. lukas · 2019-01-23

    Submitted Optimizing CIFAR-10 Hyperparameters with W&B and SageMaker as a story · 2 points

    HN discussion
  29. lshukla · 2020-01-13

    Submitted Show HN: Find the most important hyperparameters for your neural network as a story · 1 points

    HN discussion
  30. kzil · 2019-12-17

    Submitted Faceswap founders lukas and chris with deepfake as a story · 1 points

    HN discussion

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