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Alternatives

Products that do what ML Showcase does

A curated collection of machine learning projects

  1. 1
    ML ART150

    A showcase with 340 creative Machine Learning projects

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  2. 2AC
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    A curated list of awesome deep learning projects

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    Breathtaking visuals for learning ML techniques.

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    Layer AI124

    Metadata store for production ML

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    Accelerating open machine learning research with Cloud TPUs

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  8. 8GF

    2018 · dataturks.com

  9. 9
    Nanonets135

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  10. 10DC
  11. 11

    Machine Learning Experiments based on Git

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  12. 12

    Open-source machine learning library by Google

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  13. 13

    An illustrated guide to understanding Machine Learning

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  14. 14IO
  15. 15MW
  16. 16MN
  17. 17DO

    Hi HN! I am an undergrad student trying to build interesting things with AI. Recently, I was looking for a dataset I could use for a new project. I realized that it is really frustrating to go through all the government websites (with terrible UX) just to find some usable dataset. I set out to build a GitHub for datasets, named DataHub. Right now, we have more than 1000 datasets from Montréal and New York City, with more cities coming soon (and possible government agencies). All of this is wrapped into a powerful search. It's a breeze to find a dataset to work on. I'd be interested to know…

    2017

  18. 18
    BigML64

    Machine learning as a service - build predictive apps

    2014

  19. 19IS

    Everything that would be here is in the README. I hope this gets big, it has tons of potential.

    2013 · github.com

  20. 20NN

    Hi HN. Peter here. As a machine learning engineer, I mostly think in terms of feature vectors, embeddings, and matrices. One of the most useful byproducts of deep neural networks is embeddings because they allow us to represent high-dimensional data in terms of lower-dimensional latent vectors. These feature vectors can be used for downstream applications like similarly search, recommendation systems and near duplicate detection. As an ML engineer, I was frustrated by the lack of a datastore in which vectors are first-class citizens. As a result, most ML engineers, including myself, end up…

    2021

  21. 21MZ
  22. 22ML

    Hey HN, Being a huge fan of Artificial Intelligence and Machine Learning, I decided to make an ML job portal to list all the ML related jobs at a single place, so as to help enthusiast find jobs with greater ease. Introducing Machine Learning Jobs List https://mljobslist.com There are way TOO MANY job boards. But many of my friends are still unable to find a job related to Machine Learning. Why? They don’t have time to look at hundreds of portals for specific for Machine Learning. And the Machine Learning Jobs Portal there are too dispersed. Since I firmly believe AI and ML is the…

    2018

  23. 23IB

    I’ve spent the last 2.5 months building a product that runs LLM-powered code reviews on my pull requests — and I just launched it. The tool is built specifically for solo developers. You install it on your repo, trigger a scan by creating a pull request, and it leaves structured review comments using OpenAI under the hood. Funnily enough, I used the dev version of this app to review its own pull requests while building it. It helped me spot bugs, simplify structure, and keep quality high — all with minimal need for another human in the loop. Things I want to try out in the next months : -…

    2025 · codii.dev

  24. 24PD

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