--- title: "ml-surveys alternatives" type: "alternatives" slug: "eugeneyan-ml-surveys" canonical_url: "https://www.graphcanon.com/tools/eugeneyan-ml-surveys/alternatives" of: "eugeneyan-ml-surveys" count: 24 --- # ml-surveys alternatives *GraphCanon updated Jul 12, 2026* Open-source alternatives to [ml-surveys](/tools/eugeneyan-ml-surveys.md) in Computer Vision, Vector Databases. ## In short Top alternatives to ml-surveys are bootcamp and Awesome-Datasets-Hub, ranked by typed graph edges - computer-vision. [ml-surveys](https://github.com/eugeneyan/ml-surveys) has 2.9k GitHub stars and 2 open issues, last pushed Mar 17, 2023 per [its repository](https://github.com/eugeneyan/ml-surveys). The top typed alternative, [bootcamp](https://github.com/milvus-io/bootcamp), shows 2.4k stars and 689 forks, last pushed Apr 20, 2026. ## Same categories - [bootcamp](/tools/milvus-io-bootcamp.md) - Dealing with all unstructured data including reverse image search, audio search, molecular search, video analysis, and question-answer systems. (★ 2,438) [Steady] - [Awesome-Datasets-Hub](/tools/ahammadmejbah-awesome-datasets-hub.md) - A curated collection of datasets for Large Language Models (LLMs), covering medical AI, NLP, multimodal learning, instruction tuning, reasoning, code generation, and evaluation benchmarks. (★ 146) [Active] - [awesome-embedding-models](/tools/hironsan-awesome-embedding-models.md) - A curated list of awesome embedding models tutorials, projects and communities. (★ 1,843) [Dormant] - [awesome-generative-ai](/tools/filipecalegario-awesome-generative-ai.md) - A curated list of Generative AI tools, works, models, and references (★ 3,499) [Slowing] - [awesome-generative-ai-guide](/tools/aishwaryanr-awesome-generative-ai-guide.md) - A curated list for generative AI research and learning resources (★ 28,211) [Active] - [Awesome-LLMOps](/tools/tensorchord-awesome-llmops.md) - An awesome & curated list of best LLMOps tools for developers (★ 5,877) [Steady] - [best_AI_papers_2023](/tools/louisfb01-best-ai-papers-2023.md) - A curated list of the latest breakthroughs in AI (in 2023) with video explanations, articles, and code. (★ 251) [Dormant] - [cherche](/tools/raphaelsty-cherche.md) - Neural Search (★ 331) [Dormant] - [deep-searcher](/tools/zilliztech-deep-searcher.md) - Open Source Deep Research Alternative to Reason and Search on Private Data. (★ 7,941) [Slowing] - [knowledge_gpt](/tools/mmz-001-knowledge-gpt.md) - Accurate answers and instant citations for your documents. (★ 1,637) [Archived] - [Learn_Prompting](/tools/trigaten-learn-prompting.md) - Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community (★ 4,714) [Dormant] - [llm-app](/tools/pathwaycom-llm-app.md) - Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. (★ 59,068) [Very active] - [lmms-eval](/tools/evolvinglmms-lab-lmms-eval.md) - One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks (★ 4,298) [Very active] - [WeKnora](/tools/tencent-weknora.md) - Open-source LLM knowledge platform for creating a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki. (★ 18,122) [Very active] _[Freemium]_ - [academic-research-skills-codex](/tools/imbad0202-academic-research-skills-codex.md) - Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows (★ 6,001) [Active] - [ai-engineering-hub](/tools/patchy631-ai-engineering-hub.md) - Tutorials on LLMs, RAGs, and real-world AI agent applications (★ 36,439) [Steady] - [AI-Infra-from-Zero-to-Hero](/tools/huaizhengzhang-ai-infra-from-zero-to-hero.md) - 🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys (★ 4,176) [Slowing] - [awesome-ai-sdks](/tools/e2b-dev-awesome-ai-sdks.md) - A database of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonomous AI agents (★ 1,198) [Very active] - [awesome-claude-skills](/tools/composiohq-awesome-claude-skills.md) - A curated list of awesome Claude Skills for customizing AI workflows (★ 67,447) [Steady] - [Awesome-Diffusion-Models](/tools/diff-usion-awesome-diffusion-models.md) - A collection of resources and papers on Diffusion Models (★ 12,353) [Dormant] - [awesome-generative-ai](/tools/steven2358-awesome-generative-ai.md) - A curated list of modern Generative Artificial Intelligence projects and services (★ 12,279) [Active] - [awesome-gpt](/tools/formulahendry-awesome-gpt.md) - Curated list of GPT and related resources (★ 1,044) [Dormant] - [Awesome-LLM-Compression](/tools/huangowen-awesome-llm-compression.md) - Awesome LLM compression research papers and tools to accelerate LLM training and inference. (★ 1,848) [Active] - [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) - Summary of the world's best LLM resources. (★ 8,668) [Very active] ## Head-to-head comparisons - [ml-surveys vs bootcamp](/compare/eugeneyan-ml-surveys-vs-milvus-io-bootcamp.md) - [ml-surveys vs Awesome-Datasets-Hub](/compare/ahammadmejbah-awesome-datasets-hub-vs-eugeneyan-ml-surveys.md) - [ml-surveys vs awesome-embedding-models](/compare/eugeneyan-ml-surveys-vs-hironsan-awesome-embedding-models.md) - [ml-surveys vs awesome-generative-ai](/compare/eugeneyan-ml-surveys-vs-filipecalegario-awesome-generative-ai.md) - [ml-surveys vs awesome-generative-ai-guide](/compare/aishwaryanr-awesome-generative-ai-guide-vs-eugeneyan-ml-surveys.md) - [ml-surveys vs Awesome-LLMOps](/compare/eugeneyan-ml-surveys-vs-tensorchord-awesome-llmops.md) - [ml-surveys vs best_AI_papers_2023](/compare/eugeneyan-ml-surveys-vs-louisfb01-best-ai-papers-2023.md) - [ml-surveys vs cherche](/compare/eugeneyan-ml-surveys-vs-raphaelsty-cherche.md) ## When NOT to use ml-surveys - Last GitHub push was 1213 days ago (dormant maintenance, Mar 17, 2023). Validate activity before betting a new project on ml-surveys. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Related alternatives hubs - [LangChain alternatives](/tools/langchain-ai-langchain/alternatives.md) - [LlamaIndex alternatives](/tools/run-llama-llama-index/alternatives.md) - [Qdrant alternatives](/tools/qdrant-qdrant/alternatives.md) ## Common questions ### What are the best alternatives to ml-surveys? Graph-backed alternatives to ml-surveys include bootcamp, Awesome-Datasets-Hub, awesome-embedding-models, awesome-generative-ai, awesome-generative-ai-guide. GraphCanon ranks them by typed relationship edges and constraint overlap from decision_facts - not marketing votes or raw star sort. ### How does GraphCanon rank ml-surveys alternatives? Direct alternative and successor edges from the knowledge graph come first, ordered by edge type and shared constraint facets (persona, runtime, hosting). Category neighbours fill the list only after curated edges. Stars are shown for context, not as the primary sort. ### When should I avoid ml-surveys? Last GitHub push was 1213 days ago (dormant maintenance, Mar 17, 2023). Validate activity before betting a new project on ml-surveys. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is ml-surveys open source? Yes. ml-surveys is an open-source project on GitHub under the MIT license, with 2,900 stars. ### What is ml-surveys used for? 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc. ### What category is ml-surveys in? ml-surveys is categorized under Computer Vision, Vector Databases in the GraphCanon knowledge graph. ### How do ml-surveys alternatives compare head-to-head? Each alternative has a neutral compare page against ml-surveys, for example [bootcamp vs ml-surveys](/compare/eugeneyan-ml-surveys-vs-milvus-io-bootcamp), [Awesome-Datasets-Hub vs ml-surveys](/compare/ahammadmejbah-awesome-datasets-hub-vs-eugeneyan-ml-surveys), [awesome-embedding-models vs ml-surveys](/compare/eugeneyan-ml-surveys-vs-hironsan-awesome-embedding-models). Stats come from live GitHub metadata. ### Is there a machine-readable alternatives list? Yes. The markdown twin at [ml-surveys alternatives](/tools/eugeneyan-ml-surveys/alternatives.md) lists direct alternatives and same-category tools with internal links to each tool markdown page. ### Where are other high-intent alternatives hubs? Related P0 OSS-vs-OSS hubs: [LangChain alternatives](/tools/langchain-ai-langchain/alternatives), [LlamaIndex alternatives](/tools/run-llama-llama-index/alternatives), [Qdrant alternatives](/tools/qdrant-qdrant/alternatives). Vector-database intent (including Pinecone-style queries) is covered at [Qdrant alternatives](/tools/qdrant-qdrant/alternatives). ### Where can I see maintenance and security signals for ml-surveys? GraphCanon publishes a sourced trust report for ml-surveys at [ml-surveys trust report](/tools/eugeneyan-ml-surveys/trust) - maintenance posture, fork provenance, and dependency/MCP scan status with methodology tags. Not a safety grade. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=eugeneyan-ml-surveys`](/api/graphcanon/graph?tool=eugeneyan-ml-surveys) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_