Brian是一个用于峰值神经网络的免费开源模拟器。
biological-simulations 开源项目推荐(132 个)
biological-simulations 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 132 个仓库SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.
👾 JS library for simple biological simulations and cellular automata
Human brain cells play Doom (CL1)
Blue Brain Python Optimisation Library
Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.
A brian2 extension to simulate spiking neural networks on GPUs
An epithelium simulation library
A platform for sharing and reusing biomodeling studies including models, simulations, and visualizations of their results
Examples of BrainPy
Random walk to calculate the tortuosity tensor of images
A LLM-friendly framework for translating dynamical equations to gymnasium-compatible RL environments.
BioEn - Bayesian Inference Of ENsembles
Openfoam library for physiological flow. Solvers and boundary conditions.
Biological Modeling & Simulation Platform: Peykar is a source-available foundation for registering, composing, executing, and evaluating versioned biological models. Its long-term scope extends from molecular and cellular models to tissues, organs, and interacting systems.
Code for Entangled Schrödinger Bridge Matching
Code for Branched Schrödinger Bridge Matching (ICLR 2026)
PeerTree.js An Organic Inspired Network Architecture. Build Apps that scale just by cloning existing nodes for more power..
Simulating a primordial brain. A biological (spiking) neural network structuring itself through natural selection.
Scripts to create cartoons of 3D genomes
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/biological-simulations。
- 该话题在 GitHub 上共有 132 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4149 Star,覆盖 5 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。