331 Open source projects that are alternatives of or similar to REGAL

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

A collection of important graph embedding, classification and representation learning papers with implementations.

A curated list of network embedding techniques.

Profiling and Deanonymizing Ethereum Users

A list of data mining and machine learning papers that I implemented in 2019.

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

SMORe: Modularize Graph Embedding for Recommendation

[WIP] An opinionated framework for building distributed domain driven systems using microservices architecture

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

Data Science and Matrix Optimization course

concurrent linked list implementation

Pytorch implementation of LayoutGMN.

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Must-read papers and resources related to causal inference and machine (deep) learning

hybris gist by winston

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Microservices Architecture Workshop focuses on helping the developers / architects to understand the key Architecture paradigms with hands on section. The course helps the developers from Monolithic App mindset to a Microservices based App development. It also helps the developers with hands on development experience with key Microservices infra…

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

This project presents a simple framework to retrieve images similar to a query image.

A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].

Ἀνατομή is a PyTorch library to analyze representation of neural networks

A collection of full-stack resources for programmers.

Analyze system scalability with the Universal Scalability Law

Build your own Game-Engine based on the Entity Component System concept in Golang.

C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.

OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080

Rcpp Machine Learning: Fast robust NMF, divisive clustering, and more

Hazelcast .NET Client

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

Scalable multi-thread multi-process containers for Ruby.

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning

Example of Docker Compose scale and load balancing features

The Koa framework extended for APIs. Optimized for security, scalability, and productivity.

A distributed, fast open-source graph database featuring horizontal scalability and high availability

Lightweight Python library for in-memory matrix completion.

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

equadratures.org/

Demoing Kubernetes/AKS features

DDD/Clean Architecture inspired boilerplate for Node web APIs

Using efficientnet to provide embeddings for retrieval

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Julia functional programming infrastructures and metaprogramming facilities

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

Quick-Data-Science-Experiments

The scalable, auditable and high-performance tamper-evident log project

Python Actor concurrency library

High Efficiency Reliable Access to data stores

Predictive Coding for Locally-Linear Control (ICML-2020)

Generate random data for MongoDB

Framework for Evolutionary Event-Driven Microservices on the JVM

This is a Machine Learning project to create a "Movie Recommender System" and predict user ratings for movies using cosine similarity.