cleora
textsynth
cleora | textsynth | |
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8 | 1 | |
472 | 1 | |
0.0% | - | |
2.4 | 6.3 | |
6 months ago | over 2 years ago | |
Jupyter Notebook | Rust | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
cleora
- Cleora - an ultra fast graph embedding tool written in Rust
- Cleora.ai - open source general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data - new updates
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[R] Cleora: A Simple, Strong and Scalable Graph Embedding Scheme
Our team at Synerise AI has open sourced Cleora - an ultra fast vertex embedding tool for graphs & hypergraphs. If you've ever used node2vec, DeepWalk, LINE or similar methods - it might be worth to check it out.
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[R] Cleora - the fastest graph & hypergraph node embedding tool
A few weeks ago, our team at Synerise AI has open sourced Cleora - an ultra fast vertex embedding tool for graphs & hypergraphs. It is a tool, which can ingest any categorical, relational data and turn it into vector embeddings of entities. It is extremely fast, while offering very competitive quality of results. In fact, it may be the fastest hypergraph embedding tool possible in practice, without intentionally discarding/reducing input data.
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[D] Why I'm Lukewarm on Graph Neural Networks
Thanks for raising so many interesting points about model performance and complexity. In this context, I think our newly released graph embedding library - Cleora - might be of interest: https://github.com/Synerise/cleora Cleora has some nice performance-wise properties:
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Rusticles #20 - Wed Nov 18 2020
Synerise/cleora (Rust): Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
textsynth
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TextSynth | An unofficial Rust wrapper for the TextSynth API, which provides online text completion
Library: https://github.com/ALinuxPerson/textsynth
What are some alternatives?
i3status-rust - Very resourcefriendly and feature-rich replacement for i3status, written in pure Rust
rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Owlyshield - Owlyshield is an EDR framework designed to safeguard vulnerable applications from potential exploitation (C&C, exfiltration and impact).
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
node2vec-c - node2vec implementation in C++
synthtext - A program which wraps the TextSynth API.
finalfusion-rust - finalfusion embeddings in Rust
tangram - Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.
GEM
avored-rust-cms - Avored rust content management system
PyO3 - Rust bindings for the Python interpreter
postgresml - The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.