RGL is a framework for graph data structures and algorithms in Ruby.
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Updated
Apr 18, 2024 - Ruby
RGL is a framework for graph data structures and algorithms in Ruby.
This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI, Anthropic, DeepBricks, OpenRouter, Gemini, Vertex, etc.
SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.
A Ruby Gem for interacting with Gemini through Vertex AI, Generative Language API, or AI Studio, Google's generative AI services.
AR Navigation allows creating apps that use AR to navigate within a given target area.
An epithelium simulation library
Dart implementation of a directed graph. Provides algorithms for sorting vertices, retrieving a topological ordering or detecting cycles.
Mesh Maker VR
Create your self-hosted lab in one click.
Fast regression and mediation analysis of vertex or voxel MRI data with TFCE
VertexAI-KT is a Kotlin multiplatform library that simplifies integration with Google Cloud's Vertex AI PaLM API for generative model creation and training.
Collaborate on 3D models in real-time using the Vertex Platform.
Golang port of poly2tri.js and poly2tri
Easy-to-use Python bindings for HepMC3
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