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Lightly is a computer vision framework for self-supervised learning.
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Published directory entries matching your search.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A system for quickly generating training data with weak supervision.
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A data exploration platform designed to be visual, intuitive, and interactive.
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A Super-fast account switcher for Steam, Battle.net, Epic Games, Origin, Riot, Ubisoft and many others!
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"GPTeam uses GPT-4 to create multiple agents who collaborate to achieve predefined goals".
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Parallel Action CLI for AI agents. Run 50 actions across 20 sites at onece.
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Reliable agent framework built on top of the latest OpenAI Assistants API.
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A repository for creating and managing autonomous AI agents with customizable goals and tasks.
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An Artificial Intelligence Automation Platform.
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Self-improving agentic QA harness with memory for natural-language web and mobile test execution.
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Open-source infrastructure for AI backends. Kubernetes for orchestration, Okta for identity—production-ready from day one.
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Self-improving agents that learn from execution feedback. LangChain integration for agents that curate their own context.
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Open-source CLI security scanner for agentic workflows.
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Collection of prompt patterns, experiments, and research around agentic AI workflows and prompting strategies.
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The easiest, and fastest way to run AI-generated Python code safely.
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Start building LLM-empowered multi-agent applications in an easier way.
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Provides a flexible framework that simplifies the process of building custom multi-agent environments for LLMs.
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AI-powered marketing automation platform for Google, Meta, and TikTok Ads. Features multi-platform campaign management, AI ad copy generation, analytics dashboard, automation rules, and Stripe billing.
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A comprehensive framework for building AI agents that run anywhere, with full local-AI and WASM support.
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Platform to programmatically author, schedule, and monitor workflows.
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Platform for Production Data Science.
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Open source container-native workflow engine for orchestrating parallel jobs on Kubernetes.
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AutoKeras goal is to make machine learning accessible for everyone.