🪢 开源 AI 工程平台:涵盖 LLM 评测、可观测性、指标、prompt 管理、playground 和数据集。集成 OpenTelemetry、LangChain、OpenAI SDK、LiteLLM 等。🍊 YC W23🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
仓库/Skill 库
14 个 · 评测基准 · 数据集
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
"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
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.
《面向可持续制药制造的混合人工智能:系统综述、分类法、整合框架与研究议程》的数据、代码与补充材料Data, code, and supplementary materials for Hybrid Artificial Intelligence for Sustainable Pharmaceutical Manufacturing: A Systematic Review, Taxonomy, Integrative Framework, and Research Agenda
来自 Principia 的研究问题合集Collective gatherings of research questions from Principia
系统综述《Artificial Intelligence for Agricultural Residue Burning Monitoring》的数据、筛选记录与补充材料。Data, screening records, and supporting materials for the systematic review “Artificial Intelligence for Agricultural Residue Burning Monitoring.”
FraudBench-Hybrid 是一个面向时序银行欺诈检测的可复现研究框架,仓库包含数据集配置、防数据泄露的 Heavy Hybrid 集成实现、实验评估、结果、可视化分析及未来研究扩展资料FraudBench-Hybrid is a reproducible research-based framework developed for temporal bank fraud detection. This repository will include dataset configuration, leakage-controlled Heavy Hybrid ensemble implementation, experimental evaluation, results, visual analysis, and material for future research extensions.
综述基于性状的方法以量化农业对土壤无脊椎动物影响的研究A systematic review of trait-based approaches to quantify agricultural impacts on soil invertebrates
gMG 免疫治疗试验中安慰剂组变化的系统综述与荟萃分析代码及数据Code and data for the systematic review and meta-analysis of placebo-arm changes in gMG immunotherapy trials
系统综述数据分析仓库:基于机器学习技术的自闭症谱系障碍儿童情绪识别Data analysis repository for systematic literature review on emotion recognition in childrens with Autism Spectrum Disorder using machine learning techniques
论文 "Composite endpoints sharing a name do not always share a definition — a registry-based audit of five systematic reviews, and why heterogeneity statistics do not detect the problem" 的配图与补充材料。Figures and supplementary materials accompanying the manuscript “Composite endpoints sharing a name do not always share a definition — a registry-based audit of five systematic reviews, and why heterogeneity statistics do not detect the problem.