Awesome GitHub RepositoriesEntity-Key Collocated Stores

Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma

Datascript este un magazin de stare imutabil, în memorie, și un magazin de triplete bazat pe schemă. Gestionează starea aplicației ca o bază de date versionată, stocând datele ca fapte imutabile constând dintr-o entitate, atribut, valoare și tranzacție. Proiectul oferă un motor logic pentru executarea interogărilor Datalog cu suport pentru join-uri implicite, reguli recursive și negație. De asemenea, dispune de un API declarativ de tip „pull” pentru preluarea grafurilor de entități profund imbricate și a structurilor de date conexe. Baza de date impune integritatea datelor prin constrângeri bazate pe schemă și tipuri de atribute. Suportă tranzacții atomice, protocoale de stocare pluggable pentru persistență și indexarea atributelor B-tree pentru a optimiza căutările. Sistemul este conceput pentru utilizare în medii Clojure, ClojureScript și JavaScript.

This project is a curated collection of Chinese names, surnames, and kinship terms designed for linguistic analysis and natural language processing. It functions as a multilingual name dataset and a training resource for named entity recognition, providing a unified repository of names across Chinese, Japanese, and English languages. The project includes a synthetic name generator that creates realistic person names by applying analyzed naming patterns and demographic data. It also provides a cleaned Chinese idiom lexicon gathered and deduplicated from multiple sources. The available data su

mcp-context-forge is a Model Context Protocol federation gateway that unifies diverse AI tool servers and APIs into a single consistent interface for discovery and execution. It acts as a centralized proxy that aggregates multiple servers and APIs, allowing AI agents to access and invoke a unified set of tools, prompts, and resources. The project distinguishes itself through a multi-protocol translation bridge that converts communication between standard I/O, SSE, gRPC, and REST to enable interoperability between disparate tool servers. It includes a comprehensive LLM evaluation framework for