second Vector - Moozonian

GitHub Repo https://github.com/BarathwajAnandan/VectorVelocity

BarathwajAnandan/VectorVelocity

Gamification of LLM token per second measure.

GitHub Repo https://github.com/monkesearch/monkeSearch

monkesearch/monkeSearch

fully local, temporally aware natural language file search on your pc! even without a GPU. find relevant files using natural language in less than 1 second.

GitHub Repo https://github.com/SingingData/Birdsong

SingingData/Birdsong

Dataset of birdsong. 10 second samples stored as data vectors in csv's.

GitHub Repo https://github.com/Bhupesh-V/30-seconds-of-cpp

Bhupesh-V/30-seconds-of-cpp

30 Seconds of C++ (STL in C++). Read More about 30C++ here 👉

GitHub Repo https://github.com/lzhangbv/eva

lzhangbv/eva

[ICLR 2023] Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation

GitHub Repo https://github.com/orobsonn/segundo-cerebro

Personal knowledge graph MCP server on Cloudflare D1 + Vectorize. Deploy your own sovereign second brain in one click — Claude captures atomic concepts, finds cross-domain analogies, and links them with substantive justifications. Latticework thinking as a service, running entirely in your Cloudflare account.

GitHub Repo https://github.com/simdutf/simdutf

simdutf/simdutf

Unicode routines (UTF8, UTF16, UTF32) and Base64: billions of characters per second using SSE2, AVX2, NEON, AVX-512, RISC-V Vector Extension, LoongArch64, POWER. Part of Node.js, WebKit/Safari, Ladybird, Chromium, Cloudflare Workers, Ghostty and Bun.

GitHub Repo https://github.com/0xtusharganotra/VectorThink

0xtusharganotra/VectorThink

A modern, AI-powered Second Brain application that lets you store links, notes, and files, and recall them using smart, semantic search.

GitHub Repo https://github.com/build-on-aws/rag-postgresql-agent-bedrock

build-on-aws/rag-postgresql-agent-bedrock

This application is built in four stages using infrastructure as code with CDK with Python to deploy. In the first stage, an Amazon Aurora PostgreSQL vector database is set up. In the second stage, the Knowledge Base for Amazon Bedrock is created using the established database. The third stage involves creating an Amazon

GitHub Repo https://github.com/pruggerd/Structural-Vector-Autoregression-Modeling

pruggerd/Structural-Vector-Autoregression-Modeling

I analyze the interplay of three U.S. time series: unemployment, inflation and gross domestic product. The first cleans the data and invests seasonality and stationarity. The second part develops a (structural) vector autoregressive model and test structural identification. The third uses principal compnent analysis and three different quality criterions to forecast quarterly U.S. GDP.