Stars
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Create LLM agents with long-term memory and custom tools 📚🦙
Kubernetes Helm chart to deploy Large Language Models with Ollama
GPU environment and cluster management with LLM support
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
Unify Efficient Fine-Tuning of 100+ LLMs
LangGPT: Empowering everyone to become a prompt expert!🚀 Structured Prompt，Language of GPT, 结构化提示词，结构化Prompt
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
High Performance ServiceMesh Data Plane Based on Programmable Kernel
CNCF Jaeger, a Distributed Tracing Platform
Google Kubernetes Engine Policy Library
Virtual Kubelet is an open source Kubernetes kubelet implementation.
Machine Learning Toolkit for Kubernetes
A GitOps recipe for Progressive Delivery with Flux v2, Flagger and Istio
Progressive delivery Kubernetes operator (Canary, A/B Testing and Blue/Green deployments)
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Open-source benchmark suite for cloud microservices
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
High-Resolution Image Synthesis with Latent Diffusion Models
Workload Management in Multi-cluster environment with GitOps
A multi-sandbox container runtime that provides cloud-native, all-scenario multiple sandbox container solutions.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
This repository contains a sample of GitOps setup that supports multi-cluster and multi-tenant environments with Flux v2.