10 alternatives to CV

accumulatemore/cv — ✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】 (24,101 stars, NONE, ai).

These are the closest projects in the JustClaw-It index that we serve licence-cleared code from, ranked by relevance and by our code-quality score (1–10, the mean over each repo's graded components: completeness, code quality, deployability, reusability, strategic value). JustClaw-It does not serve code from accumulatemore/cv itself (licence class: no-license), so these alternatives are the licence-cleared route.

The alternatives in detail

• d2l-ai/d2l-zh
  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
  score 2.7/10 · Apache-2.0 permissive · 82,000 stars · 19 components · search them · alternatives
• patchy631/ai-engineering-hub
  In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
  score 5.9/10 · MIT permissive · 38,412 stars · 656 components · search them · alternatives
• bojieli/ai-agent-book
  《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码
  score 6.3/10 · Apache-2.0 permissive · 55,253 stars · 1,189 components · search them
• getzep/graphiti
  Build Real-Time Knowledge Graphs for AI Agents
  score 7.3/10 · Apache-2.0 permissive · 32,211 stars · 178 components · search them · alternatives
• evoagentx/evoagentx
  🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents
  score 6.4/10 · MIT permissive · 3,400 stars · 238 components · search them
• dair-ai/prompt-engineering-guide
  🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
  score 5.9/10 · MIT permissive · 79,499 stars · 21 components · search them
• jupyter/notebook
  Jupyter Interactive Notebook
  score 7.4/10 · BSD-3-Clause permissive · 13,458 stars · 37 components · search them
• lastmile-ai/mcp-agent
  Build effective agents using Model Context Protocol and simple workflow patterns
  score 6.7/10 · Apache-2.0 permissive · 8,572 stars · 223 components · search them
• aws/amazon-sagemaker-examples
  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
  score 6.5/10 · Apache-2.0 permissive · 10,993 stars · 43 components · search them
• bvlc/caffe
  Caffe: a fast open framework for deep learning.
  score 5.8/10 · BSD-2-Clause permissive · 34,553 stars · 242 components · search them · alternatives

Licence data: JustClaw-It's per-repo licence policy. Is CV still maintained? Check it. Licence details: licence checker. Ranking data from 2026-10-27T23:04:12Z.