一个精简且可定制的高效大模型(LLM、VLM、AIGC)评估与性能基准测试框架。A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
仓库/Skill 库
84 个 · 评测基准 · 学术写作
Harness Anything - AI agent 控制中枢:支持 WPS、MS Office、Zotero、Photoshop、47 个 CLI 命令、27 项学术技能、SVG 转 PPTXHarness Anything - AI agent control hub: WPS, MS Office, Zotero, Photoshop, 47 CLI commands, 27 academic skills, SVG-to-PPTX
面向治理、风险与合规(GRC)的 Claude Skills:针对 ISO 27001、SOC 2、FedRAMP、GDPR、HIPAA、NIST CSF、PCI DSS、EU AI Act、ISO 42001、ISO 27701、DORA、CSRD、印度 DPDPA、CMMC 2.0、NIST AI Risk、SWIFT、澳大利亚 ISM、EU NIS2、CCPA/CPRA 等的专家级合规指导。使用 skills 基准 97%,不使用 81%。Claude Skills for Governance, Risk, & Compliance (GRC): Expert-level compliance guidance for ISO 27001, SOC 2, FedRAMP, GDPR, HIPAA, NIST CSF, PCI DSS, EU AI Act, ISO 42001, ISO 27701, DORA, CSRD, India's DPDPA, CMMC 2.0, NIST AI Risk, SWIFT, Australia's ISM, EU NIS2, CCPA/CPRA, and others. Benchmark 97% (with skills) vs 81% (without skills).
BioPhi 是开源抗体设计平台,提供自动化抗体人源化方法(Sapiens)、人源性评估(OASis)及计算机辅助抗体序列设计界面BioPhi is an open-source antibody design platform. It features methods for automated antibody humanization (Sapiens), humanness evaluation (OASis) and an interface for computer-assisted antibody sequence design.
适用于 OpenAI Codex 的研究类 skills 精选清单,覆盖写作、文献综述、评估与研究工作流A curated list of research-oriented skills usable in OpenAI Codex, covering writing, literature review, evaluation, and research workflows.
Review Helper 是一款 AI 工具,帮助研究者快速摘要、整理和评估学术论文。它通过自动化关键任务来简化文献综述流程,使研究更高效、更准确。Review Helper is an AI tool that helps researchers quickly summarize, organize, and evaluate academic papers. It streamlines literature reviews by automating key tasks, making research more efficient and accurate.
SYNERGY——系统综述研究筛选的开放机器学习数据集SYNERGY - Open machine learning dataset on study selection in systematic reviews
论文 LitLLMs, LLMs for Literature Review: Are we there yet?(TMLR 2025)的代码仓库。Code for LitLLMs, LLMs for Literature Review: Are we there yet? (TMLR 2025)
AI4Scholar for DeepSeek Harness (dsh):38 个原生学术工具——Semantic Scholar、PubMed、Google Scholar、arXiv、bioRxiv/medRxiv、DOI、full text、auto-cite、figures、unified search。由 ai4scholar.net 提供支持AI4Scholar for DeepSeek Harness (dsh): 38 native academic tools — Semantic Scholar, PubMed, Google Scholar, arXiv, bioRxiv/medRxiv, DOI, full text, auto-cite, figures, unified search. Powered by ai4scholar.net
系统综述与论文清单:探索面向代码的 LLM 中数据与代码质量问题的映射、检测与治理。Systematic review and paper list exploring the mapping, detection, and governance of data and code quality issues in Large Language Models for Code.
可复现研究代码:检验足球预测优势是否依赖于博彩公司去水方法。Reproducible research code testing whether football forecasting edges depend on bookmaker de-margining methods.
硕士论文(UiB,计算语言学,2023)及扩展工作。针对系统综述筛选的文本分类。原始 11 工作流分析结合 NEO ontology 集成,以及 Cohen 等人(2006)药物类别基准的扩展,比较 BoW 与 BiomedBERT。Master's thesis (UiB, Computational Linguistics, 2023) and extension work. Text classification for systematic review screening. Original 11-workflow analysis with NEO ontology integration plus Cohen et al. (2006) drug-class benchmark extension comparing BoW and BiomedBERT.
AI4Scholar for DeepSeek Harness (dsh):38 个原生学术工具——Semantic Scholar、PubMed、Google Scholar、arXiv、bioRxiv/medRxiv、DOI、全文、自动引用、图表、统一搜索。由 ai4scholar.net 提供支持AI4Scholar for DeepSeek Harness (dsh): 38 native academic tools — Semantic Scholar, PubMed, Google Scholar, arXiv, bioRxiv/medRxiv, DOI, full text, auto-cite, figures, unified search. Powered by ai4scholar.net
akaOSS studio——五个面向人在回路 AI 测量与开发者工具的开源项目,Assist-Not-Complete 论文,可复现研究信息流,以及 HITL Kit 的 shadcn registry。站点 akaoss.dev。The akaOSS studio — five open-source projects for human-in-the-loop AI measurement and developer tooling, the Assist-Not-Complete paper, a reproducible research feed, and the HITL Kit shadcn registry. Live at akaoss.dev.
UMD 行星长期记忆算法、公式、基准、SDK 与可复现研究。UMD planetary long-term memory algorithms, formulas, benchmarks, SDKs, and reproducible research
针对 LLM 集成证据筛选(系统综述标题/摘要筛选)的筛选-自验证内核。Screening-and-self-validation kernel for LLM-ensemble evidence screening (systematic review title/abstract screening).
"社会崩溃"主题活体文献综述的永久存储仓库。Repository for permanent storage of a living literature review for societal collapse
本人毕业学年所有天体物理课题汇总。毕业设计聚焦轨道转移优化,采用梯度下降法及 Markov Chain Monte Carlo 方法进行不确定性评估These are all the astrophysics projects in my final year. My final-year project focuses on orbital transfer optimisation using gradient descent and the Markov Chain Monte Carlo method for uncertainty evaluation.
ILRI 农业-食品系统气候适应证据综合与系统综述咨询仓库,聚焦"衡量关键:追踪小农户气候适应的有效性"。A repository for the ILRI consultancy on evidence synthesis and systematic reviews of climate adaptation in agri-food systems, focused on “Measuring what matters: tracking the effectiveness of climate adaptation for smallholder producers.”
由文本挖掘驱动的科学文献综述。A text mining-driven review of scientific literature.
通过系统综述和患者病例场景分析识别潜在药物不良反应(ADR),包括对症状、用药史、剂量及时间线的评估,以确定可疑药物并判断所报告反应是否可能与药物相关。项目展示了基础的 Pharmacovigilance 能力identifying potential Adverse Drug Reactions through systematic review and analysis of patient case scenarios. It includes evaluation of symptoms, medication history, dosage, and timelines to determine the suspected drug and assess whether the reported reaction is potentially drug-related. The project demonstrates basic Pharmacovigilance
支撑 AV/CAV 交通拥堵缓解半系统综述的数据与代码。Data and coding supporting a semi-systematic review of AV/CAV congestion mitigation.
围绕矩匹配情景生成与时序投资组合评估的可复现研究。Reproducible research on moment-matching scenario generation and temporal portfolio evaluation
论文《Physics-Informed Neural Networks and Neural Operators for PDEs: A Unified Taxonomy and Systematic Review》(Neural Networks)的补充材料:PRISMA 数据集、PDE 复杂度评分标准以及概念验证的统一基准。Supplementary materials for 'Physics-Informed Neural Networks and Neural Operators for PDEs: A Unified Taxonomy and Systematic Review' (Neural Networks): PRISMA datasets, PDE complexity rubric, and proof-of-concept unified benchmark
可复现研究基准实验:二维度量空间下的贪心 t-Spanner 构造算法A reproducible research benchmarking lab for Greedy t-Spanner Construction Algorithms in 2D Metric Spaces.
系统综述工具:面向学生自我关怀与学业功能的全文筛选与 Covidence 数据提取。Systematic-review tooling: full-text screening and Covidence data extraction for self-compassion and academic functioning in students
AI 诊断近视准确性的系统综述:完整数据、提取流程、代码与稿件。Systematic review of AI diagnostic accuracy for myopia detection: full data, extraction, code, and manuscript
一个用于研究入侵检测系统 (IDS) 在时间分布漂移下何时应进行适应的可复现研究框架。该项目评估了一个分阶段决策流水线,结合漂移筛查、新颖性检测与成本感知的适应触发器,以判断重训练是否必要且有益。A reproducible research framework for investigating when an Intrusion Detection System (IDS) should adapt under temporal distribution shift. The project evaluates a staged decision pipeline combining drift screening, novelty detection, and cost-aware adaptation triggers to determine whether retraining is necessary and beneficial.
论文一:NL2SQL 歧义检测——M1.5 分类法、确定性基线、人工金标评估与可复现研究制品Paper 1: NL2SQL Ambiguity Detection — M1.5 taxonomy, deterministic baseline, human-gold evaluation, reproducible research artifact
SURF2026 计算金融项目,研究感知自由边界的美式期权风险曲面,使用 CN/PSOR 基准、文献综述、实验报告以及 Codex 辅助的分步研究规划SURF2026 computational finance project on free-boundary-aware American option risk surfaces, using CN/PSOR benchmarks, literature review, experiment reports, and step-by-step Codex-assisted research planning.
使用 R 进行荣誉研究项目的源码与统计分析。Source code and statistical analysis for my honours research project using R.
面向 Neuro-Olfactive Intelligence 的专有可复现研究框架Proprietary reproducible research framework for Neuro-Olfactive Intelligence