DeepSeek Harness: Everything is a Plugin.

A general framework for distilling human-created multimodal resources into reusable, executable skills that AI agents can browse, compose, and run, validated across diverse domains including web, P…

Efficient multi-token attribution for reasoning language models — Python package, CLI, and HTML token traces

Mimesys: Generating Realistic Executable Testing Environments from Resource Usage Traces (OSDI 26)

A query-level RAG tuning

[SIGMOD'26]HAMMER: Hierarchical Memory-guided Monte Carlo Tree Search for RAG System Optimization

A Comprehensive Benchmark Framework for Retrieval-Augmented Generation (RAG) Routing and Query-Corpus Compatibility.

[KDD'25] Paths to Causality: Finding Informative Subgraphs within Knowledge Graphs for Knowledge-based Causal Discovery

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

This is the code repository accompanying the paper titled "Materialized View Selection & View-Based Query Planning for Regular Path Queries", accepted by SIGMOD 2024. Authors: Yue Pang (PKU), Lei Z…

赛博朋克主题程序员健身 Claude Code 插件 — 身体是最重要的硬件，不可替换

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物

Relational Causal Model implementation in Python

The AI that really does things. Any OS. Any Platform. The lobster way. 🦞

A Paper collection for LLM based Patient Simulators

[NeurIPS 2025] Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs

"Paper2Slides: From Paper to Presentation in One Click"

[VLDB25 LLMKG Workshop] Scalable Graph-based Retrieval-Augmented Generation via Locality-Sensitive Hashing

Tuning hyperparams fast with Hyperband

Efficient Hyper-parameter Tuning at Scale (VLDB'22)

Library of contextual bandits algorithms

A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"