The GitHub presence of exo-explore, an organization focused on edge machine learning, showcases a wide range of repositories primarily written in Python, C, Rust, C++, Ruby, and Shell. Notable projects include the exo repository for running frontier AI locally and private-search, which facilitates private web searches for local LLMs.
Top languages
Public repositories
exo
Run frontier AI locally.
llama98.c
Inference Llama models in one file of pure C for Windows 98 running on 25-year-old hardware
mlx-bitnet
1.58 Bit LLM on Apple Silicon using MLX
private-search
Private Web Search for Local LLMs
gym
EXO Gym is an open-source Python toolkit that facilitates distributed AI research.
ex-exo
Archive: Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
evML
Resources regarding evML (edge verified machine learning)
mlx
MLX: An array framework for Apple silicon
models
No description provided for this repository.
homebrew-exo
No description provided for this repository.
configs
No description provided for this repository.
nix-configs
No description provided for this repository.
exo-spark-assets
Release artifacts for exo (vLLM wheels, warm compile caches). Source: exo-spark.
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Frequently asked questions
What does exo-explore build on GitHub?
exo-explore develops various projects related to edge machine learning, including tools for running AI locally and managing LLMs. Their repositories feature applications such as EXO Gym, a toolkit for distributed AI research.
Which programming languages does exo-explore use?
The primary programming languages used by exo-explore in their repositories are Python, C, Rust, C++, Ruby, and Shell. This diverse language selection supports the development of various AI-related tools and applications.
Are exo-explore's repositories public?
Yes, all of exo-explore's repositories are public on GitHub. This transparency allows users and developers to access and contribute to their projects focused on edge machine learning and related technologies.
Is this exposure intended?
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