489 Open source projects that are alternatives of or similar to FEATHER

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

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

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

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

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

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

A curated list of community detection research papers with implementations.

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

A distributed graph deep learning framework.

Implementation and experiments of graph embedding algorithms.

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

Tri-Party Deep Network Representation, IJCAI-16

Profiling and Deanonymizing Ethereum Users

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

A curated list of network embedding techniques.

Friends Recommendation and Link Prediction in Social Netowork

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Graph Embedding via Frequent Subgraphs

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

Tutorials for Machine Learning on Graphs

Data Mining algorithms for IDMW632C course at IIIT Allahabad, 6th semester

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Official adversarial mixup resynthesis repository

📚 social networks from novels

Digital Expression Explorer 2 (DEE2): a repository of uniformly processed RNA-seq data

heidi : tidy data in Haskell

A module for allowing the use of multiple metric functions in scikit's cross_val_score

No description or website provided.

2018-JData-联通-基于移动网络通讯行为的风险用户识别：Baseline 0.77

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

[archived]

REPO MOVED TO https://github.com/repetere/jsonstack-data - Data Science and Machine learning in JavaScript

A light-weight, extendable, high level, universal code parser built on top of tree-sitter

Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

At present contains scraped data from around 1500 problems present on the site. More to follow....

🚨 Rumor, Fake News, Misinformation Papers

New Algorithms for Learning on Hypergraphs

Latest Data Science Materials

Algorithmic trading using machine learning.

Scrape public FaceBook posts from any group or user into a .csv file without needing to register for any API access

Unsupervised Representation Learning for Singing Voice Separation

Library for working with TSPLIB files.

Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).

Semantic Image Manipulation using Scene Graphs (CVPR 2020)

Awesome Graph Self-Supervised Learning

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

A library for evaluating representations.

AI based web-wrapper for web-content-extraction

Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

机器学习、深度学习、自然语言处理

A Python package for spectral proper orthogonal decomposition (SPOD).

Force Atlas 2 graph layout