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AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version in translation
Implements of community detection algorithms
Learning Fraud Detection from research papers and industry applications.
Multi-level network clustering based on the Map Equation
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
A curated list of data mining papers about fraud detection.
Spark / graphX implementation of the distributed louvain modularity algorithm
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks such as Giraph and GraphX. The analytics included are High Bet…
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you th…
一位酷爱做饭的程序员，立志用动画将算法说的通俗易懂。我的面试网站 www.chengxuchu.com
Up-to-date simple useragent faker with real world database
A collection of research and survey papers of fraud detection mainly in advertising.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa…
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A high performance scripting language hosted on the JVM.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
A curated list of automated machine learning papers, articles, tutorials, slides and projects