Best Practices on Recommendation Systems
State-of-the-Art Embeddings, Retrieval, and Reranking
:star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名,每日自动更新
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
Open-source inference server and production cluster for all the models your agent needs.
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Claude Code blog skill suite: 30 sub-skills, 5 agents, 5-gate v1.9.0 Blog Delivery Contract, dual-optimized for Google rankings and AI citations. Active development at AI-Marketing-Hub/claude-blog (AI Marketing Hub Pro community); public releases ship here.
Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Ranking Google Scholar search results based on the number of citations
Stay ahead of AI trends with automated Reddit insights! 🚀 This tool scans AI-related Reddit communities in English & Chinese, using Reddit Official API, DeepSeek V4.1 by OpenRouter to analyze posts, summarize key discussions, and track trends. Daily rankings hot topics—catch emerging trends before they go mainstream! (Updated every 6 AM CDT)
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
A list of the most popular AI Topic repositories on GitHub based on the number of stars they have received.| AI相关主题Github仓库排名,每日自动更新。
中文优先的企业 RAG 知识库:可控解析、治理、切块、混合检索、重排、引用、图谱、评测与 Dify 接入。
Open-source GEO ranking and generative engine optimization platform.
2,000 curated embodied AI and robotics resources with bilingual metadata and transparent ranking
NeuralRank utilizes distributed neural networks to facilitate real-time, adaptive ranking and scoring through auto-scaling architectures.
Hyperliquid analytics right in your terminal. Track top traders by PnL, ROI, and account value, monitor ranking changes over time, and identify consistently profitable wallets while separating them from one-hit wonders. Powered by Hyperliquid’s public, read-only info API. Unofficial community project, not affiliated with Hyperliquid.
[NeurIPS 2026] Code for our resarch paper "SAS: Simple Attention Sparsification via End-to-End Optimization of Context Ranking"
Full-stack multimodal product retrieval and personalized reranking with CLIP, FAISS, Spring Boot, FastAPI, and PostgreSQL.
Personal AI research scout for daily ArXiv discovery, ranking, and feedback
Official code for the paper "A New Role for Relevance: Guiding Corpus Interaction in Agentic Search"
Automated daily Exec Sum deal-flow brief with Top 3 deal ranking, sourced expert insights, IB analysis, and Gmail delivery.
AI 幾級了 — What level is your AI usage? Reads local agent logs and writes an LV0–LV5 report. No ranking.
Typed judgment tools for MCP agents. TypeSafe's Jev model as verify, screen, find, classify, rerank, decide, compare, extract, review, gate, and score: the model judges, policy decides auto, review, or escalate.
Jev-powered relevance filtering and reranking for RAG in Python.
Nerve is a supervisory nervous system for Hermes agents, adding typed System One decisions, ranking, verification, token-aware oversight, and an opt-in tool gate powered by TypeSafe Jev or Open Source Laya
Zero-dependency local-first AI memory engine: graph memory, multimodal ingestion, reranking, temporal reasoning, hash-chained ledger, capsule compression, memory formation + runtime layers. 52 MCP tools (41 native + 11 compatible). MIT.
Self-hosted professor outreach tracker for prospective CS grad students: CSRankings import, AI-assisted scoring, Gmail reply scanning, local-first dashboard.
Self-hosted research intelligence for collecting, deduplicating, ranking, searching, and browsing the researchers, topics, and sources you care about.
Small System One decision models (17M–400M) for Yes/No, Choice, Score, and reranking. Training toolkit, Python inference, and ONNX support for Node.js and browsers.
Local AI Personal Knowledge Base Q&A · Full‑Link RAG Practical Implementation (Hybrid Retrieval + Rerank Fine‑Ranking + Citation‑Enabled Generation)
Structured decisions over Russian text in one encoder pass: choice, scale, yes/no, ranking
sort by meaning: order lines along a plain-English dimension, from pairwise comparisons judged by TypeSafe's Jev model
Reproducible benchmark and reference pipeline for reranked long-term memory retrieval