activeloopai/deeplake
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Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
A powerful AI observability framework that provides comprehensive insights into agent interactions across platforms, enabling developers to monitor, analyze, and optimize AI-driven applications with minimal integration effort.
$ git clone https://github.com/cyberark/agentwatch.git▲ +3 ★ this week
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
▲ +66 ★ this week
Learn AI and LLMs from scratch using free resources
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Optimizing inference proxy for LLMs
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[NeurIPS 2025] 4KAgent: Agentic Any Image to 4K Super-Resolution. An intelligent computer vision agent that can magically restore any image to perfect-4K!
MiniMax M2.1, a SOTA model for real-world dev & agents.
Lean implementation of various multi-agent LLM methods, including Iteration of Thought (IoT)
Data from GitHub · snapshot Nov 13, 2026