--- id: "/tags/frameworks-sdks/page/4/" title: "Frameworks Sdks · page 4" url: "https://skillissue.dev/tags/frameworks-sdks/page/4/" --- # Frameworks Sdks [Beginner](/levels/beginner/index.md) [Intermediate](/levels/intermediate/index.md) [Advanced](/levels/advanced/index.md) [Expert](/levels/expert/index.md) 109 resources · page 4 of 4 - ### [Kimi K2: Open Agentic Intelligence](/agents/agent-design-patterns/kimi-k2-open-agentic-intelligence/index.md) by [Kimi Team (Moonshot AI)](https://www.moonshot.ai/) arXiv paper (2025) Kimi K2 technical report: MuonClip optimizer and agentic post-training. Advanced learning_resource paper China en - ### [Long Horizon Document Agents (LlamaIndex)](/agents/agent-design-patterns/llamaindex-long-horizon-document-agents/index.md) by [LlamaIndex](https://www.llamaindex.ai/) LlamaIndex post on designing long-horizon agents that process and act on documents. Advanced learning_resource blog US en - ### [MAPIE](/agents/agent-design-patterns/mapie/index.md) by [MAPIE project (Capgemini Invent and Quantmetry)](https://github.com/scikit-learn-contrib/MAPIE) MAPIE documentation: Python library for conformal prediction intervals and sets for any model. Advanced learning_resource docs France/global en - ### [Metaflow documentation](/agents/agent-design-patterns/metaflow-documentation/index.md) by [Metaflow project (Outerbounds)](https://metaflow.org/) Metaflow documentation: open-source framework from Netflix for building and running data science and ML workflows. Advanced learning_resource docs US/global en - ### [Nanbeige 4.2-3B official model card](/agents/agent-design-patterns/nanbeige-4-2-3b-official-model-card/index.md) by [Nanbeige LLM Lab](https://huggingface.co/Nanbeige) Hugging Face model card for Nanbeige4.2-3B with architecture, usage and evaluation details. Advanced learning_resource docs China zh - ### [PennyLane documentation](/agents/agent-design-patterns/pennylane-documentation/index.md) by [Xanadu (PennyLane)](https://pennylane.ai/) PennyLane documentation: Python library for differentiable quantum computing and hybrid quantum-classical ML. Advanced learning_resource docs Canada / International en - ### [PyGOD](/agents/agent-design-patterns/pygod/index.md) by [PyGOD team](https://github.com/pygod-team/pygod) PyGOD documentation: Python library for outlier and anomaly detection on graphs. Advanced learning_resource docs Global en - ### [ReAct](/agents/agent-design-patterns/react/index.md) by [Shunyu Yao et al. (Princeton University and Google Research)](https://www.princeton.edu/) arXiv paper (2022) "ReAct: Synergizing Reasoning and Acting in Language Models", introducing ReAct, interleaving reasoning traces and tool actions in language models. Advanced learning_resource paper US en - ### [Scaling Managed Agents: decoupling brain from hands](/agents/agent-design-patterns/scaling-managed-agents-decoupling-brain-from-hands/index.md) by [Anthropic](https://anthropic.com/) Anthropic engineering post on the architecture of its hosted Managed Agents harness, separating model reasoning from execution. Advanced learning_resource blog US en - ### [SHAP documentation](/agents/agent-design-patterns/shap-documentation/index.md) by [Scott Lundberg (SHAP)](https://github.com/shap/shap) SHAP documentation: game-theoretic method and library for explaining ML model predictions. Advanced learning_resource docs International en - ### [AI SDK docs: Loop control](/agents/agent-design-patterns/vercel-ai-sdk-loop-control/index.md) by [Vercel](https://vercel.com) Vercel AI SDK documentation on loop control: stop conditions and step control for agent loops. Advanced learning_resource docs US en - ### [Berkeley Advanced LLM Agents (SP25)](/agents/agent-design-patterns/berkeley-advanced-llm-agents-sp25/index.md) by [UC Berkeley RDI](https://rdi.berkeley.edu/) Berkeley CS294/194-280 Advanced Large Language Model Agents (Spring 2025): lectures on reasoning, coding agents and agent safety. Expert learning_resource course US en - ### [SpikingJelly](/agents/agent-design-patterns/spikingjelly/index.md) by [SpikingJelly team (Peking University)](https://github.com/fangwei123456/spikingjelly) SpikingJelly documentation (in Chinese): PyTorch framework for deep learning with spiking neural networks. Expert learning_resource docs China en [Previous page](/tags/frameworks-sdks/page/3/index.md) [Plain-text Markdown copy](/tags/frameworks-sdks/page/4/index.md)