A Chi­nese edi­tion of the Not So Short Introduction to LaTeX2ε

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

Simple shell implementation. Tutorial here ->

FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)

A fast Python implementation of locality sensitive hashing.

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

lshell is a Python-based restricted shell that limits users to a defined set of commands, enforces path and SSH transfer controls (SCP/SFTP/rsync), logs user activity, supports session/time restrictions, and more.

The Not So Short Introduction to LaTeX

lshw: HardWare LiSter for Linux

A Java implementation of Locality Sensitive Hashing (LSH)

A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support python and matlab.

Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents

A Pure C# IL Runner,Run DLL as a Script.直接解析执行IL的脚本引擎

A scalable nearest neighbor search library in Apache Spark

[ICLR2025 Spotlight] MagicPIG: LSH Sampling for Efficient LLM Generation

📚 从零开始的向量数据库原理与实践教程，在线阅读地址：https://easy-vecdb.datawhale.cc/

A Java library implementing practical nearest neighbour search algorithm for multidimensional vectors that operates in sublinear time. It implements Locality-sensitive Hashing (LSH) and multi index hashing for hamming space.

Run interactive shell commands on AWS Lambda

This package provides an efficient implementation of locality-sensitve hashing (LSH)

A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.

🌒(Support AndroidX)一个阴影控件，可调整阴影颜色深浅、扩散面积、圆角 (A shadow control that adjusts the shade of the shadow, the diffuse area, and the fillet)

[NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)

Locality Sensitive Hashing in Rust with Python bindings

A fully-featured lisp/scheme shell written in Racket.

Weighted MinHash implementation on CUDA (multi-gpu).

Locality Sensitive Hashing for Go (Multi-probe LSH, LSH Forest, basic LSH)

LSH-GPU ANN package

Scalable and Sustainable Deep Learning via Randomized Hashing

An implementation of efficient LSH inspired by fruit fly brain

A pure python implementation of locality sensitive hashing for text documents