tangram

Tangram makes it easy for programmers to train, deploy, and monitor machine learning models. (by tangramdotdev)

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tangram reviews and mentions

Posts with mentions or reviews of tangram. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-11.
  • Tangram open sourced their package manager code
    1 project | news.ycombinator.com | 14 Dec 2023
  • Train a Machine Learning Model to Predict the Programming Language in a Code Snippet
    1 project | dev.to | 15 Feb 2022
    Head over to https://www.tangram.dev and give it a try!
  • Writing the fastest GBDT libary in Rust
    6 projects | dev.to | 11 Jan 2022
    In this post, we will go over how we optimized our Gradient Boosted Decision Tree library. This is based on a talk that we gave at RustConf 2021: Writing the Fastest Gradient Boosted Decision Tree Library in Rust. The code is available on GitHub.
  • What machine learning can learn from Ruby on Rails
    1 project | dev.to | 10 Jan 2022
    You can check out the Tangram Ruby Gem. We built it using Ruby FFI and the source is available on our GitHub repo.
  • Any role that Rust could have in the Data world (Big Data, Data Science, Machine learning, etc.)?
    8 projects | /r/rust | 4 Dec 2021
  • Examples of Rust front-end web works
    5 projects | /r/rust | 7 Nov 2021
    We are using Rust for our web application and website at Tangram. You can view the source here: https://github.com/tangramdotdev/tangram/tree/main/crates/www. The website is at https://www.tangram.dev. We decided to write our own web framework because we needed server rendering and we wanted to use the builder pattern in creating components. Here is an example component for our Logo to get a sense of what this looks like: https://github.com/tangramdotdev/tangram/blob/main/crates/www/ui/logo.rs
  • Multi-language library support: Is it possible?
    4 projects | /r/rust | 6 Oct 2021
    Check out https://github.com/tangramdotdev/tangram.
  • Ask HN: Who is hiring? (October 2021)
    27 projects | news.ycombinator.com | 1 Oct 2021
    Tangram | Senior Rust Programmer | Remote | https://www.tangram.dev

    Tangram is an all in one machine learning framework designed for programmers. With Tangram, developers can train models and make predictions on the command line or with libraries for languages including Elixir, Go, JS, Python, Ruby, and Rust, and learn about their models and monitor them in production from a web application. To learn more about what the product does, watch the demo on the homepage at https://www.tangram.dev or check it out on GitHub at https://www.github.com/tangramdotdev/tangram.

    We are looking to grow our engineering team with senior Rust programmers. We are currently based in Boston, MA but are looking to build a remote team. At Tangram, you'll get to work on everything from our core machine learning algorithms to writing front-end code in Rust! We are looking for developers with experience in Rust and familiarity with or willingness to learn machine learning concepts. If this sounds exciting, email me (Isabella, cofounder) at [email protected].

  • Seed – A Rust front-end framework for creating fast and reliable web apps
    18 projects | news.ycombinator.com | 17 Sep 2021
    We chose to use Rust instead of TypeScript for the front end of https://github.com/tangramdotdev/tangram.

    This allows us to:

    * Share code with our server written in Rust.

  • How far along is the ML ecosystem with Rust?
    6 projects | /r/rust | 15 Sep 2021
    I'm working on machine learning in Rust at Tangram. We currently only provide an implementation of linear models and gradient boosted decision trees but will move into exposing training of deep models in the future. You can check out Tangram here: https://github.com/tangramdotdev/tangram. You may also be interested in checking out Linfa https://github.com/rust-ml/linfa. If you're interested in the future of machine learning in Rust, check out Luca Palmieri's blog post: https://www.lpalmieri.com/posts/2019-12-01-taking-ml-to-production-with-rust-a-25x-speedup/
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