pathmind.comの競合サイトトップ10

unify.ai

Consult our policies on how we handle your data.

keras.io

keras documentation

machine-learning.paperspace.com

Download and learn about the classic MNIST dataset

dataplatform.cloud.ibm.com

AI Governance is a set of tools and capabilities that you can use to manage your AI assets in accordance with the regulations and requirements of your organization. Use the integrated toolkit to track AI assets from request to production, evaluate assets to meet compliance goals, and review governance activities from a common console.

safegpt.nl

Ontdek de kracht van AI klantenservice. 24/7 ondersteuning, verbeterde klanttevredenheid en geautomatiseerde antwoorden met SafeGPT's AI-oplossingen.

archestra.ai

Enterprise-grade platform enabling non-technical users to safely leverage AI agents and MCP (Model Context Protocol) servers with security guardrails and compliance.

paddlepaddle.org.cn

飞桨致力于让深度学习技术的创新与应用更简单。具有以下特点：同时支持动态图和静态图，兼顾灵活性和效率；精选应用效果最佳算法模型并提供官方支持；真正源于产业实践，提供业界最强的超大规模并行深度学习能力；推理引擎一体化设计，提供训练到多端推理的无缝对接；唯一提供系统化技术服务与支持的深度学习平台

linka.ai

Create a personalized AI agent that answers buyer questions, captures leads, and guides people to book or buy. Embed it on your website, add it to your LinkedIn bio, connect it to Instagram DMs and comments

algomatic.jp

生成AIネイティブなプロダクトを次々と生み出し、AI革命で人々を幸せにします。

dataknobs.com

use data knobs to build data products. build ai assitant to empower humans, build ai twins to super charge physical objects and factories. data knobs let build chocolotae bars of data. it let you build higher level concepts that humans and bots can consume. ai twins become more intelligent using data products. data knobs capabilities build data products with governance and lineage. dataknobs products are kreate and abexperiment. with kreate you create data product, visualization and chatbots. with ab experiment you experiment what works. levers/knobs give you control to use data in effective manner. knobs are those input that have highest influence on outcomes. levers also provide blind spot in data where you should be testing