peft-fine-tuning
OpenRaiser
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <…
1.4KGitHub
OPENAGENTSKILL / DIRECTORY
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Results · “parameter-efficient”
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Results: 8
unsloth
OpenRaiser
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
ResearchSkill source recorded
1.4KGitHub
DeepResearchAgent
SkyworkAI
DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top…
ResearchSkill source unconfirmed
3.5KGitHub
RecBole
RUCAIBox
A unified, comprehensive and efficient recommendation library
ResearchSkill source unconfirmed
4.5KGitHub
Hora
hora-search
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
ResearchSkill source unconfirmed
2.7KGitHub
RAG Retrieval
NovaSearch-Team
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
ResearchSkill source unconfirmed
1.1KGitHub
demand-first-review
CherryHQ
Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when…
51KGitHub
Memorizz
RichmondAlake
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility cl…
ResearchSkill source unconfirmed
756GitHub