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nelsonwerd
Rigorous multi-agent deep-dive analysis for complex investigative tasks — auditing codebases, evaluating strategies or systems, validating designs, doing open-e
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Finde den passenden Skill für deine nächste Aufgabe mit Codex, Claude Code, Cursor und mehr.
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Rigorous multi-agent deep-dive analysis for complex investigative tasks — auditing codebases, evaluating strategies or systems, validating designs, doing open-e
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Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks.
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An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of th…
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DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top…
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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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Explore the skill🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
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Deep dive into Claude Code internals — architecture, agent loop, context engineering, and more. / 深入解析 Claude Code 源码:架构、Agent 循环、上下文工程、工具系统等
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Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
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~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private docum…
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MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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深度学习入门教程, 优秀文章, Deep Learning Tutorial
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State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.