Popular GitHub Repositories for Rk3588s

? Kubectl plugin to create manifests with LLMs

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Standardized Serverless ML Inference Platform on Kubernetes

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Pytorch framework for doing deep learning on point clouds.

?️ Generate natural-sounding speech and clone voices without a tokenizer using VoxCPM's context-aware TTS. Experience true-to-life voice generation today.

dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem support. It natively supports NVIDIA, AMD, TPU, and Intel accelerators.

? Difficult algorithm, Simple code.

DLRover: An Automatic Distributed Deep Learning System

?RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

LLMs for your CLI

? Tiny S3 client. Edge computing ready. No-dep. In Typescript. Works with @cloudflare @minio @backblaze @digitalocean @garagehq

A comprehensive ComfyUI integration for Microsoft's VibeVoice text-to-speech model, enabling high-quality single and multi-speaker voice synthesis directly within your ComfyUI workflows.

TOMs is a fully open-source, high-performance, systematic, plugin-oriented, and scenario-agnostic general-purpose development framework.

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text.

A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC

Model Deployment at Scale on Kubernetes ??

一款轻巧、兼容多种系统的迷你 Kubernetes 人工智能控制面板，支持大型模型、智能代理和多集群控制面板（MCP，可自定义操作权限），集成了多集群管理、智能分析和实时异常检测等功能，支持多种架构并可通过单个文件部署，帮助您高效管理和优化 Kubernetes 集群。