ml-surveys vs alpaca-lora

Common questions

What is the difference between ml-surveys and alpaca-lora?

ml-surveys: 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.. alpaca-lora: Instruct-tune LLaMA on consumer hardware. See the comparison table for live GitHub stats and shared categories.

When should I choose ml-surveys over alpaca-lora?

Choose ml-surveys over alpaca-lora when License: ml-surveys is MIT, alpaca-lora is Apache-2.0; Tags unique to ml-surveys: reinforcement-learning, embeddings, deep-learning, nlp; Also covers Vector Databases.

When should I choose alpaca-lora over ml-surveys?

Choose alpaca-lora over ml-surveys when License: alpaca-lora is Apache-2.0, ml-surveys is MIT; 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 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.

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 ml-surveys or alpaca-lora more popular on GitHub?

alpaca-lora has more GitHub stars (18,913 vs 2,900). Stars measure visibility, not whether either tool fits your constraints.

Are ml-surveys and alpaca-lora open source?

Yes - both are open-source projects on GitHub (ml-surveys: MIT, alpaca-lora: Apache-2.0).

Where can I find alternatives to ml-surveys or alpaca-lora?

GraphCanon lists graph-backed alternatives at ml-surveys alternatives and alpaca-lora alternatives (ml-surveys markdown twin, alpaca-lora markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, ml-surveys or alpaca-lora?

ml-surveys: 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 ml-surveys and alpaca-lora?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ml-surveys trust report; alpaca-lora trust report.