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Spark implementation of the Anomaly Detection with Mixed Numerical and Categorical inputs (ADMNC) algorithm
Abstract Algebra for Scala
Code for paper "AutoAudit: Mining Accounting and Time-Evolving Graphs" (Big Data 2020)
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors
Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759
Collection of papers relating data-driven higher-order graph/networks researches.
A collection of research materials on SSL for tabular data
BagMinHash - Minwise Hashing Algorithm for Weighted Sets
Repository for benchmarking graph neural networks
Bloom filter for Scala, the fastest for JVM
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Distributed locally sensitive hashing algorithm for similarity search with ultra high dimensionality datasets
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
DaSong: Approximate Nearest Neighbor Search on GPU. SONG is a graph-based approximate nearest neighbor search toolbox.
Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble
Fast and Scalable Method for Distributed Boolean Tensor Factorization (ICDE'17 & VLDBJ'19)
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning
A pytorch library for graph and hypergraph computation.
This repository contains implementations and illustrative code to accompany DeepMind publications
Epasto et al. Efficient Densest Subgraph Computation in Evolving Graphs, WWW, 2015
DIRECT (Robust high-dimensional classification from few positive examples)
Implementation in Apache Spark of a clustering algorithm that offers explainable results.
Fully dynamic approximate hypergraph k-core decomposition
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.