A unified interface to many trajectory forecasting datasets.

A Recursive Spatial Model Index

Spatial index library with R*Tree, STR-Tree, Quadtree, CritBit, KD-Tree, CoverTree and PH-Tree

Totem Mobile Database

A Java implementation of Locality Sensitive Hashing (LSH)

A scalable nearest neighbor search library in Apache Spark

Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"

Implementation and experiments of graph embedding algorithms.

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

An implementation of k-d tree

A Benchmark for Learned Indexes

🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes

Accompanying source code for Learned Metric Index — Proposition of learned indexing for unstructured data

Learned Sort: a model-enhanced sorting algorithm

A Python implementation of a kd-tree

An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.

Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习

Awesome Multitask Learning Resources

Federated k-means clustering algorithm implementation and proof of concept.

This is the model in "A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation" (IJCAI2020). GA-DTCDR is an optimized model for DTCDR ("DTCDR: A Framework for Dual-Target C…

resources about federated learning and privacy in machine learning

RSTutorials: A Curated List of Must-read Papers on Recommender System.

A Python implementation of global optimization with gaussian processes.

A library for Partially Homomorphic Encryption in Python

Papers related to federated learning for recommender system

一些传统推荐算法的实现，包括基于内容的推荐，协同过滤，矩阵分解

Bitcoin Whitepaper and Bitcoin Developer Guide 比特币白皮书 比特币开发者指南 中文版