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mberr
torch-ppr

(Personalized) Page-Rank computation using PyTorch

23K 93 6
dustalov
evalica

Evalica, your favourite evaluation toolkit

23K 62 5
twn39
pypetgraph

pypetgraph 是基于 Rust 著名图计算库 petgraph 的 Python 高性能封装。它利用 PyO3 实现了近乎原生的 Rust 计算速度,支持在节点和边上存储任意 Python 对象,并针对多核并发和异步 IO 进行了深度优化。

3K 0 0
someus
textrank4zh

:deciduous_tree:从中文文本中自动提取关键词和摘要

1K 3K 841
dhondta
zotero-cli-tool

Tinyscript tool for sorting and exporting Zotero references based on pyzotero

826 74 7
jw-open
graph2sql

Assist your agents that answer business questions against databases

824 0 0
Medinz01
chaosrank-cli

Risk-driven chaos experiment scheduler. Ranks which microservice to break next using service topology and incident history. 9.8x faster weakness discovery vs random selection.

468 7 1
athalhammer
danker

Compute PageRank on >4 billion Wikipedia links on off-the-shelf hardware.

435 66 5
ArtistScript
fasttextrank

中文文本摘要/关键词提取

388 436 80
he-yufeng
repowiki

Open-source DeepWiki alternative — generate comprehensive wiki documentation for any codebase from terminal or browser

367 94 16
Avi-141
weft-graph

Local-first knowledge graph for browser tabs. Louvain clustering, PageRank, MCP server for AI assistants, Chrome extension, CLI. 100% private.

340 8 1
Xiangyu-Li97
ai-code-compass

Fast code map generator for AI coding assistants - Save 99%+ tokens

312 0 0
BianchTech
search-engine-cpp

Search Engine is a project that implements a basic search engine using C++, Python, and Cython. It builds a reverse index and ranks pages with the PageRank algorithm based on keyword relevance and page importance.

258 9 0
KrishnanSG
pynutshell

An unsupervised text summarization and information retrieval library under the hood using natural language processing models

156 15 1
qquartsco-svg
cognitive-kernel

Minimal, verifiable implementation of persistent long-term memory for AI agents

134 0 0
Medinz01
chaosrank

Risk-driven chaos experiment scheduler. Ranks which microservice to break next using service topology and incident history. 9.8x faster weakness discovery vs random selection.

4 7 1
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