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Tom Doerr shares the awesome-homelab curated list of top open source apps for homelab enthusiasts, featuring AI tools like Ollama, Dify, Open WebUI, and others.
An introduction to the Awesome resource list on GitHub maintained by sindresorhus, covering fields from AI to web development and earning nearly 300k stars.
A curated list of resources for mastering GPU engineering for AI systems, covering CUDA, ROCm, optimization tools, multi-GPU orchestration, and distributed training.
This tweet introduces 'Awesome LLM Books', a curated GitHub list of 22 high-quality books for LLM development, evaluated by strict criteria including relevance, content quality, and social proof. Each book entry includes author, publisher, rating, and links, helping developers quickly find suitable resources.
A curated list of practical /loop, /goal, and /schedule commands for Claude Code and Codex, shared by power users on X/Twitter, collected in an awesome-list GitHub repository for copy-paste use.
Recommending the open-source repository awesome-human-distillation which organizes human distillation into reusable AI Skills, containing various persona skill packages such as Feng Ge, Zhang Xuefeng, and other typical figures.
A curated list of papers, models, code, datasets, and learning resources for Joint Embedding Predictive Architectures (JEPA), the self-supervised approach to world models proposed by Yann LeCun.
A curated list of top models, engines, libraries, and datasets for late-interaction multivector retrieval, organized in an 'Awesome Multivector Retrieval' resource.
A curated repository of papers on agent memory, organized by short-term, long-term, and experiential memory, with a taxonomy and application scenarios for LLM agents.
A curated video-guided curriculum and comprehensive list of resources for learning ML systems and LLM infrastructure, including papers, courses, and tutorials.
Introduces an Awesome repository containing over 100 sub-agents that upgrade Claude Code from a single-agent assistant to a multi-agent collaborative AI development platform, and provides a quick-start guide and top sub-agent recommendations.
Curated GitHub list of Vision-Language-Action and World Action Models research for robotics foundation models.
awesome-autoresearch list updated, adding 6 application cases based on Karpathy's autoresearch pattern, covering scenarios such as customer service agent self-evolution, Shell integration, code configuration self-optimization, RAG tuning, and ASO.
Krystal Ning shares a curated Awesome list repository of papers on code-centric agentic systems and harness engineering, accompanying a survey on 'Code as Agent Harness'.
awesome-autoresearch list updated, adding 7 entries, including pi-lifeline (local small model asks strong model for help), Marketing Mix Modeling 12x improvement, TokenTelemetry open-source tracking tool, etc., covering autoresearch application cases across multiple industries.
A comprehensive curated list of 100 repositories across 11 categories that extend Claude Code's capabilities, from awesome lists to memory systems and orchestrators, enabling developers to build a system rather than just use a tool.
A curated list of major books on CUDA programming covering beginner to advanced topics, including C++ and Python, with focus on practical resources for NVIDIA GPU parallel computing.
Introduces a GitHub repository called Awesome Math that organizes free high-quality resources (videos, textbooks, problem sets) across 30+ math fields including algebra, geometry, analysis, etc. Updated continuously, suitable for math learners.
This article introduces 'Awesome-Deep-Research', a curated GitHub repository aggregating resources, tools, and papers related to agentic deep research.
A curated GitHub repository listing large language models, multimodal generation tools, AI agents, and developer platforms, actively maintained since 2023.