Nuclia DB
tangram
Our great sponsors
Nuclia DB | tangram | |
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3 | 22 | |
571 | 1,310 | |
4.2% | - | |
9.9 | 9.6 | |
3 days ago | almost 2 years ago | |
Rust | Rust | |
AGPL V3 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Nuclia DB
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Tantivy 0.20 is released: Schemaless column store, Schemaless aggregations, Phrase prefix queries, Percentiles, and more...
You have also NucliaDB that is built on top of tantivy and addresses vector search for documents and video search.
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Alternatives to Pinecone? (Vector databases) [D]
NucliaDB https://github.com/nuclia/nucliadb
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qdrant VS nucliadb - a user suggested alternative
2 projects | 18 Jul 2022
tangram
- Tangram open sourced their package manager code
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Train a Machine Learning Model to Predict the Programming Language in a Code Snippet
Head over to https://www.tangram.dev and give it a try!
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Writing the fastest GBDT libary in Rust
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.
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What machine learning can learn from Ruby on Rails
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.)?
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Examples of Rust front-end web works
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
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Multi-language library support: Is it possible?
Check out https://github.com/tangramdotdev/tangram.
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Ask HN: Who is hiring? (October 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].
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Seed โ A Rust front-end framework for creating fast and reliable web apps
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.
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How far along is the ML ecosystem with Rust?
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/
What are some alternatives?
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
wtpsplit - Code for Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation
txtai - ๐ก All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
daisyui - ๐ผ ๐ผ ๐ผ ๐ผ ๐ผ โThe most popular, free and open-source Tailwind CSS component library
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
rust-plus-golang - Rust + Go โ Call Rust code from Go using FFI
ByteDetective - The easiest way to search for images on your desktop ๐
openidconnect-rs - OpenID Connect Library for Rust
spaCy - ๐ซ Industrial-strength Natural Language Processing (NLP) in Python
code - Source code for the book Rust in Action
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native databaseโ.
tangram - WebGL map rendering engine for creative cartography