--- title: "ECCV2022-Papers-with-Code-Demo vs alpaca-lora" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dwctod-eccv2022-papers-with-code-demo-vs-tloen-alpaca-lora" tools: ["dwctod-eccv2022-papers-with-code-demo", "tloen-alpaca-lora"] --- # ECCV2022-Papers-with-Code-Demo vs alpaca-lora *GraphCanon updated Jul 12, 2026* ## Verdict Pick ECCV2022-Papers-with-Code-Demo when pricing: The repository is free to use, but certain resources and features may require additional paid services as suggested within its content.; pick alpaca-lora when tags unique to alpaca-lora: jupyter notebook. [ECCV2022-Papers-with-Code-Demo](https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo) reports 281 GitHub stars, 21 forks, and 0 open issues, last pushed Nov 15, 2022. [alpaca-lora](https://github.com/tloen/alpaca-lora) has 19k stars, 2.2k forks, and 366 open issues, last pushed Jul 29, 2024. Figures are from public GitHub metadata via [ECCV2022-Papers-with-Code-Demo's repository](https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo) and [alpaca-lora's repository](https://github.com/tloen/alpaca-lora). | | [ECCV2022-Papers-with-Code-Demo](/tools/dwctod-eccv2022-papers-with-code-demo.md) | [alpaca-lora](/tools/tloen-alpaca-lora.md) | | --- | --- | --- | | Tagline | 收集 ECCV 最新的成果，包括论文、代码和demo视频等 | Instruct-tune LLaMA on consumer hardware | | Stars | 281 | 18,913 | | Forks | 21 | 2,185 | | Open issues | 0 | 366 | | Language | - | Jupyter Notebook | | Adopt for | ECCV2022-Papers-with-Code-Demo is a repository that compiles papers, code, and demo videos from the ECCV 2022 conference to foster research collaboration and sharing in computer vision. | - | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Computer Vision | Model Training, Inference & Serving, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ECCV2022-Papers-with-Code-Demo](/tools/dwctod-eccv2022-papers-with-code-demo.md) | [alpaca-lora](/tools/tloen-alpaca-lora.md) | | --- | --- | --- | | Days since push | 1333d | 712d | | Open issues (now) | 0 | 366 | | Security scan | No lockfile | 1 critical, 5 high, 12 medium, 28 low (1 critical, 5 high, 12 medium, 28 low) | | Full report | [trust report](/tools/dwctod-eccv2022-papers-with-code-demo/trust.md) | [trust report](/tools/tloen-alpaca-lora/trust.md) | ## Decision facts: ECCV2022-Papers-with-Code-Demo - **Pricing:** freemium - The repository is free to use, but certain resources and features may require additional paid services as suggested within its content. - **Adopt for:** ECCV2022-Papers-with-Code-Demo is a repository that compiles papers, code, and demo videos from the ECCV 2022 conference to foster research collaboration and sharing in computer vision. ## Choose when ### Choose ECCV2022-Papers-with-Code-Demo if… - Pricing: The repository is free to use, but certain resources and features may require additional paid services as suggested within its content.. - Tags unique to ECCV2022-Papers-with-Code-Demo: ai, dataset, diffusion, image-segmentation. - ECCV2022-Papers-with-Code-Demo is a repository that compiles papers, code, and demo videos from the ECCV 2022 conference to foster research collaboration and sharing in computer vision. ### Choose alpaca-lora if… - Tags unique to alpaca-lora: jupyter notebook. - Also covers Model Training, Inference & Serving. - alpaca-lora ships Docker support for self-hosted deployment. ## When NOT to use ECCV2022-Papers-with-Code-Demo - Use for broader coverage of top conferences if you need resources beyond ECCV 2022. - Do not rely on this tool if the latest advancements from other conferences or preprints are needed. ## When NOT to use alpaca-lora - Last GitHub push was 712 days ago (dormant maintenance, Jul 29, 2024). Validate activity before betting a new project on alpaca-lora. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between ECCV2022-Papers-with-Code-Demo and alpaca-lora? ECCV2022-Papers-with-Code-Demo: 收集 ECCV 最新的成果，包括论文、代码和demo视频等. alpaca-lora: Instruct-tune LLaMA on consumer hardware. See the comparison table for live GitHub stats and shared categories. ### When should I choose ECCV2022-Papers-with-Code-Demo over alpaca-lora? Choose ECCV2022-Papers-with-Code-Demo over alpaca-lora when Pricing: The repository is free to use, but certain resources and features may require additional paid services as suggested within its content.; Tags unique to ECCV2022-Papers-with-Code-Demo: ai, dataset, diffusion, image-segmentation; ECCV2022-Papers-with-Code-Demo is a repository that compiles papers, code, and demo videos from the ECCV 2022 conference to foster research collaboration and sharing in computer vision. ### When should I choose alpaca-lora over ECCV2022-Papers-with-Code-Demo? Choose alpaca-lora over ECCV2022-Papers-with-Code-Demo when Tags unique to alpaca-lora: jupyter notebook; Also covers Model Training, Inference & Serving; alpaca-lora ships Docker support for self-hosted deployment. ### When should I avoid ECCV2022-Papers-with-Code-Demo? Use for broader coverage of top conferences if you need resources beyond ECCV 2022. Do not rely on this tool if the latest advancements from other conferences or preprints are needed. ### When should I avoid alpaca-lora? Last GitHub push was 712 days ago (dormant maintenance, Jul 29, 2024). Validate activity before betting a new project on alpaca-lora. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is ECCV2022-Papers-with-Code-Demo or alpaca-lora more popular on GitHub? alpaca-lora has more GitHub stars (18,913 vs 281). Stars measure visibility, not whether either tool fits your constraints. ### Are ECCV2022-Papers-with-Code-Demo and alpaca-lora open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to ECCV2022-Papers-with-Code-Demo or alpaca-lora? GraphCanon lists graph-backed alternatives at [ECCV2022-Papers-with-Code-Demo alternatives](/tools/dwctod-eccv2022-papers-with-code-demo/alternatives) and [alpaca-lora alternatives](/tools/tloen-alpaca-lora/alternatives) ([ECCV2022-Papers-with-Code-Demo markdown twin](/tools/dwctod-eccv2022-papers-with-code-demo/alternatives.md), [alpaca-lora markdown twin](/tools/tloen-alpaca-lora/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/dwctod-eccv2022-papers-with-code-demo-vs-tloen-alpaca-lora.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ECCV2022-Papers-with-Code-Demo or alpaca-lora? ECCV2022-Papers-with-Code-Demo: Dormant. alpaca-lora: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for ECCV2022-Papers-with-Code-Demo and alpaca-lora? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ECCV2022-Papers-with-Code-Demo trust report](/tools/dwctod-eccv2022-papers-with-code-demo/trust); [alpaca-lora trust report](/tools/tloen-alpaca-lora/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dwctod-eccv2022-papers-with-code-demo`](/api/graphcanon/graph?tool=dwctod-eccv2022-papers-with-code-demo) - 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/_