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ml-tooling
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
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Results: 1646
ml-tooling
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
MemMachine
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-g…
qdrant
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
mikeyobrien
An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration
pinecone-io
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
swirlai
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
SamurAIGPT
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interli…
modelscope
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
TanStack
🤖 Type-safe, provider-agnostic TypeScript AI SDK for streaming chat, tool calling, agents, and multimodal apps across OpenAI, Anthropic, Gemini, React, Vue, Svelte, and…
humanlayer
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
HolmesGPT
SRE Agent - CNCF Sandbox Project
qingchencloud
🦞 OpenClaw & Hermes Agent 多引擎 AI 管理面板 — 内置 AI 助手(工具调用 + 图片识别 + 多模态),一键安装 | Tauri v2 跨平台桌面应用 | 11 种语言
Trusted-AI
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
bradygaster
Squad: AI agent teams for any project
datachain-ai
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
yifanfeng97
Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.