wyfunique Goto Github PK

lsh-scala

A Locality-Sensitive Hashing Library for Scala with optional Redis storage.

lsh-spark

Locality Sensitive Hashing for Apache Spark

mastering-apache-spark-book

The Internals of Apache Spark

memory

STL compatible C++ memory allocator library using a new RawAllocator concept that is similar to an Allocator but easier to use and write.

meta-prod2vec

Repository for experiments with MetaProd2Vec and related algorithms.

minisql

MiniSQL database engine and Library Management System, based on Python and UWP design.

mit-6.824

Basic Sources for MIT 6.824 Distributed Systems Class

mit6.824

ml-cheatsheet

Machine learning cheatsheet

ml18sp-project-1

ml18sp-project-2

movielens-imdb

The doc for how to match the MovieLen dataset and the IMDB dataset

movielens-imdb-exploration

Data exploration of MovieLens and IMDb datasets to create Movinder. Movie recommendation system for a group of people.

movietweetings

A Live Movie Rating Dataset Collected From Twitter

moz-sql-parser

DEPRECATED - Let's make a SQL parser so we can provide a familiar interface to non-sql datastores!

mrpt

Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search

msongsdb

Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.

music-recommender-system-deepwalk

Graph Embeddings for Recommender Systems

n2

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

nearpy

Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.

news-search-engine

新闻搜索引擎

newspaper

News, full-text, and article metadata extraction in Python 3. Advanced docs:

ngt

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

nmslib

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

nns_benchmark

Benchmark of Nearest Neighbor Search on High Dimensional Data

nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

nsg

Navigating Spreading-out Graph For Approximate Nearest Neighbor Search

openea

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020

openhine

An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)

openke

An Open-Source Package for Knowledge Embedding (KE)