Optimizing inference proxy for LLMs

Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models

tools for sandboxing your dependency graph

Mother of All BCI Benchmarks

This is the development repo of Moai SDK.

Mixture of Agents using Groq

MoAI - Agentic Development Kit

A machine learning package for streaming data in Python. The other ancestor of River.

A VM with adaptive optimization and JIT compilation, built for Rakudo

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

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A Mastodon, Twitter, and Instagram Cross-poster

An image download extension of the image view written in Swift for iOS, tvOS and macOS.

[ECCV 2024] Official PyTorch implementation code for realizing the technical part of Mixture of All Intelligence (MoAI) to improve performance of numerous zero-shot vision language tasks.

Mother of all VPNs

一个基于node express快速开发api类后端的框架，适用于angularjs和ionic等前后端分离的项目

WARNING: This repository has been deprecated. Please update and submit all pull requests to moai-dev

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AOP Library for iOS

MOAC core

[CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>

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Grab-and-go resources to help you learn new skills, with all the tools you need to create, host and share your own workshop

Moajs frontend framework with jQuery + bootstrap

Enhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique combination empowers users to leverage a wide array of existing algorithms efficiently while fostering the development of new methodologies in both Python and Java.

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A React component library, where buttons look like buttons🗿

My Neovim Configuration, works with .NET out of the box

Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.

This is the Mixture-of-Agents (MoA) concept, adapted from the original work by TogetherAI. My version is tailored for local model usage and features a user-friendly Gradio interface.