Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
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Updated
Jun 10, 2024 - Python
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Yet another cron alternative with a Web UI, but with much more capabilities. It aims to solve greater problems.
Fully Decentralized Fully Replicated Key/Value Store
Venture allows you to create and manage complex, async workflows in your Laravel apps.
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
dagger is a fast, concurrency safe, mutable, in-memory directed graph library. Also includes a number of generic, concurrency safe data-structures
Simple but powerful DAG scheduler and dashboard
Yet another directed acyclic graph (DAG) implementation in golang.
A DAG based parallel task schedule framework for galois advertising|基于DAG(Directed Acyclic Graph)的并行任务调度系统,自动推导节点依赖生成DAG。
🐠 An Angular service for managing directed acyclic graphs
A DAG, Directed acyclic graph implementation in golang.
SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.
All the weekly lab work of the subject 18CSC304J Compiler Design.
Create visual node-based UI with Tkinter!
breaking cycles in noisy hierarchies
A robust DAG implementation for parallel execution
Incremental computations engine
Dart implementation of a directed graph. Provides algorithms for sorting vertices, retrieving a topological ordering or detecting cycles.
🏗 Data-driven directed acyclic graph (DAG) builder for Vue.js
Directed Acyclic Graphs with a variety of methods for both Nodes and Edges, and multiple exports (NetworkX, Pandas, etc). This project is the foundation for a commercial product, so expect regular improvements. PR's and other contributions are welcomed.
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