MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Teradata VantageCloud Enterprise is a data analytics platform for performing advanced analytics on AWS, Azure, and Google Cloud.
Power faster innovation with Teradata VantageCloud
VantageCloud is the complete cloud analytics and data platform, delivering harmonized data and Trusted AI for all. Built for performance, flexibility, and openness, VantageCloud enables organizations to unify diverse data sources, run complex analytics, and deploy AI models—all within a single, scalable platform.
Artificial Intelligence program - keyword based chat, personal voice in/out, animated 3D character, natural language recognition and translation, neural network based strong AI, personality, tone recognition
AKIRA aims to create a C++ development framework to build cognitive architectures and complex artificial intelligent agents.Features:KQML,Fuzzy Logic,Neural Net,Fuzzy Cognitive Maps and DIPRA (a distributed BDI - Belief Desire Intention goals model)
The Freeway Traffic Smoothing Neural Network program uses a neural network to smooth freeway traffic by sensing average freeway traffic speeds at various points along a freeway and adjusting the settings of variable speed limit signs accordingly.
We experiment with Evolution of Artifical Neural Networks, combining the two fields of Evolutionary Computation and ANNs. Our methods are applied to a variety of interesting problems. To learn more, click on "Home Page", "Mail", or "Files".
A neural net module written in python. The aim of the project is to provide a large set of neural network types accessed by an API that is easy to use and powerful.
Mental is a neural network engine implemented in pure Python. Design goals are easy-to-read source code, completeness, and ease of use. Presently implements feed-forward, back-propagation networks. Intended primarily for instructional use.
Net.py is a tool for learning about neural nets. Currently, it only allows the user to experiment with a Hopfield net. I am now extending it to cover the Kohonen net. I'd be pleased to receive suggestions and criticism.
The Genetic Architecture Framework is intended to explore and experiment with artificial life techniques using a genetic base for the physical and neural networks for the brain, in a game based simulated world.
nannY is short for Not another neural network! Why!?! and that's just
what this is all about. nannY is supposed to be an easy to extend
python implementation of artificial neural networks.