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TranslatedCurated agent skills for social media: Xiaohongshu (RedNote), Douyin, WeChat, X, YouTube, TikTok and LinkedIn. Also covers self-media operations, including WeChat Official Accounts, WeChat Channels and Bilibili: topic selection, writing, images, publishing and data. Usable by agents such as 千问 (Qianwen, "Thousand Questions"), 豆包 (Doubao, "bun"), 龙虾 (Longxia, "lobster") OpenClaw, WorkBuddy, Claude Code and Codex.

Bitemporal AI memory system: six-variable decay, time-graded recall, TTL expiry, dedupe, competitive retrieval (Neo4j + PostgreSQL + Redis)

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

Do stock correlations predict the market? 66 pre-registered tests, the data, and a triple pendulum that explains why not. If you have an idea you want me to try, submit it as a PR and I will test it and get back to you.

AI-based pathology predicts origins for cancers of unknown primary - Nature

  • histology
  • pathology
  • wsi-images
  • histopathology

TranslatedMedical paper writing and research assistant: 32 Agent Skills for Chinese physicians and medical graduate students, usable with Claude Code and Codex, covering topic selection, PubMed literature search, Chinese and English writing, journal selection and submission, and peer review and revision. Medical writing & research skills.

An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC

  • model-predictive-control
  • nonlinear-model-predictive-control
  • mpc
  • nmpc

Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.

  • nlp
  • medical
  • text-mining
  • clinical-data-warehouse

OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.

TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524

  • self-attention
  • compound-protein-interaction
  • transformercpi
  • structure-free-virtual-sreening

Interpretable bilinear attention network with domain adaptation improves drug-target prediction.

DecisionPivot: a diagnostic benchmark for decision models in LLM systems. Contrast pairs that differ in one decisive detail, generators with independent solvers, scorer and runners.

  • benchmark
  • calibration
  • decision-making
  • evaluation