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.
An epithelium simulation library
AR Navigation allows creating apps that use AR to navigate within a given target area.
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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