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Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
A base for programs. Includes algorythms for Q-learning and SOM's etc. too. Examples: Hamron: Simulates evolution, uses the 2D-renderer. DriveUnit: created for school, for a robotic arm, uses the 3D-renderer. Hlearn: http://www.sagenb.org/home/pub/8
Lightweight Architecture for boundedly Rational Agents
For the purpose of policy simulation in coupled social-ecological systems (e.g. energy supply), a credible modelling of actors – especially citizens – and their decision processes is needed. This requires a framework capable of handling high numbers of heterogeneous agents (several hundreds of thousands). LARA (Lightweight Architecture for boundedly Rational Agents) meets these requirements and fills the gap between frameworks without built-in psychological foundations and full-fledged...
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NOTE: This project was moved to: https://github.com/eetorres
The BPANNA is a flexible Back propagation neural network, which include the Conjugate Gradient and the Levenberg-Marquardt. You can change the number of inputs, number of layers, number of neurons per layer and outputs. It included an structure editor.
This project has been moved to https://bitbucket.org/pbazant/evoversum/src/master/ .
Evoversum is a fast Darwinian evolution simulator. The program simulates a 2D world populated with "animals" which struggle for food, reproduce and may also eat each other. The subject of evolution is their behavior, which may become quite complex. There is an updated video tutorial at http://www.youtube.com/watch?v=nPkZvyVDWJU !
JECL, pronounced "Jekyll", is an open-source Java library implementing
a variety of evolutionary algorithms. The goal is to provide a uniform interface for describing problems, running evolutionary algorithms, and accumulating results.
The Java Evolutionary Computation Library is no longer under active development. We suggest the MOEA Framework (http://www.moeaframework.org/), jMetal (http://jmetal.sourceforge.net/), ECJ (http://cs.gmu.edu/~eclab/projects/ecj/) or JGAP...
Fast flexible simulator of spiking neural networks. Easy to use graphical user interface with comprehensive monitoring facilities. Integrates with the NeMo CUDA simulator and the iSpike interface for the iCub robot.
An artificial neural network, currently specialized to save a specific bit pattern, mainly by changing the signal propagation delays in links. More features, variables and algorithms will be added in time.
Arena is a computer simulation in which programs compete for CPU time and access to main memory. Processes such as the dynamics of punctuated equilibrium, host-parasite co-evolution and density dependent natural selection are amenable to investigation.
PyBact is an open source software written in Python for Bacterial Identification. The software generates simulated data matrix which accurately represents the probabilistic positive/negative results of the tested biochemical test.
NeurAnim is a research aid for computational neuroscience. It is used to visualise and animate neural network simulations in 3D, and to render movies of these animations for use in presentations.
The sunflower library provides programming abstractions developed at the Autonomous Systems Lab http://www.asl.ethz.ch/. It contains a complete path planning and obstacle avoidance system, common mobile robotics tasks abstractions, and a 2D simulator.
SPLITNEURON is a completely new approach to large-scale, biologically plausible, neural-network simulation library based on data structures and methods directly coded into database and conceived to explicitly share load on multiple machines.
A genetic algorithm in Python for evolving programs that write a given string to an allocated dataspace, using a made-up machine language with only 7 instructions and flow reversal.
A unified collection of algorithms for Artificial Life. It includes evolutionary algorithms, neural networks, data mining tools, compilers, among others.
This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress
The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
Headrand is a static library wrote in c that contains functions to simulate complex systems or make statistical analysis with a new approach called "random function computing"
MASyV (Multi-Agent System Visualization) enables one to write agent-based models/cellular automata, eg. in C, visualize them in real time & capture to movie file with MASyVs GUI & message passing lib. Includes examples: Hello World, ants, viral infection
Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.