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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.
Recommending the open-source project awesome-llm-apps, which catalogs 100+ AI Agent and RAG applications, with the latest merge featuring a browser automation MCP agent based on local Ollama.
Introducing AwesomeOPD, a curated list of open-source code and papers related to On-Policy Distillation (OPD) and Self-Distillation used in the training of LLMs, VLMs, and Agents. Resources in this list are meticulously categorized and tagged based on teacher source, supervision signal, rollout usage, and training stage.