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GitHub Repo
https://github.com/DrawZeroPoint/VectorDetectionNetwork
DrawZeroPoint/VectorDetectionNetwork
Code for the paper: Z. Dong et al., "Vector Detection Network: An Application Study on Robots Reading Analog Meters in the Wild," in IEEE Transactions on Artificial Intelligence, vol. 2, no. 5, pp. 394-403, Oct. 2021, doi: 10.1109/TAI.2021.3105936.
GitHub Repo
https://github.com/ItMeDiaTech/rag-cli
ItMeDiaTech/rag-cli
Local Retrieval-Augmented Generation (RAG) plugin for Claude Code that combines Chroma db vector embeddings with intelligent info retrieval with Multi-Agent Framework (MAF) orchestration for context-aware development assistance. Uses Open Source / Free frameworks. Implements bridge to Claude Code CLI so no token use. And it's easy to setup.
GitHub Repo
https://github.com/AndersonBY/vector-vein
AndersonBY/vector-vein
No-code AI workflow. Drag and drop workflow nodes and use your workflow with your AI agents.
GitHub Repo
https://github.com/MHVali/Noise-Substitution-in-Vector-Quantization
MHVali/Noise-Substitution-in-Vector-Quantization
Python implementation of the code for NSVQ
GitHub Repo
https://github.com/janba/DivFree-VectorNoise
janba/DivFree-VectorNoise
This repository contains shaders and Python code that demonstrates methods from the paper "Improving Curl Noise" which is available here: https://doi.org/10.1145/3757377.3763980
GitHub Repo
https://github.com/R0MADEV/lexis
R0MADEV/lexis
Lexical + structural code search MCP server for Claude Code, Cursor, Windsurf and any MCP client. Gives AI assistants 28 precise search tools so they find the right code fast 80% fewer tokens per task. No vectors, no embeddings, just ripgrep.
GitHub Repo
https://github.com/amaanshahsr/VectorShift
amaanshahsr/VectorShift
A Demo app mimicking VectorShift's No-code AI workflow generator.
GitHub Repo
https://github.com/iamtouchskyer/memex
iamtouchskyer/memex
Zettelkasten-based persistent memory for AI coding agents. Works with Claude Code, Cursor, VS Code Copilot, Codex, Windsurf & any MCP client. No vector DB — just markdown + git sync.
GitHub Repo
https://github.com/narayanps/NolinearTimeSeriesAnalysis
narayanps/NolinearTimeSeriesAnalysis
The codes in the toolbox can be used to perform nonlinear time series analysis on single(or multi) channel data. This is done by mapping the single channel data to phase space representation using Taken's embedding theorem (compute_psv.m). The parameters - optimal delay and dimension are estimated using first minimum of MI (compute_tau.m) and FNN method (compute_dim) respectively. The recurrence network can be constructed from the phase space vector using ComputeRecurrenceNetwork_ANN.m or ComputeRecurrenceNetwork_fixedRR.m. The topology of the RN can be further analysed using graph theoreticl quantifiers (you need BCT toolbox for this). One can also compute the complexity-entrropy plane using get_mpr_complexity.m for which the ordinal patterns are computed using get_ordinal_pattern_dist.m (see the function descp for more details). Also, the tool box contains python codes to generate variety of uni(or multi) variate surrogate data.
GitHub Repo
https://github.com/Benboerba620/karpathy-claude-wiki