PINNLib

C++ implementation of high-performance associative neural networks models based on pseudo-inverse learning rule, also known as projection rule or attractor-based rule

Features

This project is based on the work and PhD thesis of Dmitry O. Gorodnichy and Oleksiy K. Dekhtyarenko
Implementation of most known and efficient learning rules for associative Hopfield-like attractor-based neural network

Project Samples

Application of AsNN to Face Recognition in Video (from Gorodnichy's CRV 2005 paper)

Project Activity

See All Activity >

Follow PINNLib

PINNLib Web Site

Other Useful Business Software

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Rate This Project

User Ratings

5.0 out of 5 stars

★★★★★

★★★★

★★★

★★

★

ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5

features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5

design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5

support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 2 / 5

User Reviews

Filter Reviews:

All

ivim Posted 2013-12-26

Very useful library and sample codes to understand and implement associative neural networks, can be used to implement many associative recognition tasks, such as face recognition. The only available free codes for this type of neural networks. Great for students and researchers!

Additional Project Details

Registered

2013-12-26

Similar Business Software

Neural Designer

Neural Designer is a powerful software tool for developing and deploying machine learning models. It provides a user-friendly interface that allows users to build, train, and evaluate neural networks without requiring extensive programming knowledge. With a wide range of features and...

See Software
GPT-3

Our GPT-3 models can understand and generate natural language. We offer four main models with different levels of power suitable for different tasks. Davinci is the most capable model, and Ada is the fastest. The main GPT-3 models are meant to be used with the text completion endpoint. We also...

See Software
GPT-3.5

GPT-3.5 is the next evolution of GPT 3 large language model from OpenAI. GPT-3.5 models can understand and generate natural language. We offer four main models with different levels of power suitable for different tasks. The main GPT-3.5 models are meant to be used with the text completion...

See Software
Neuton AutoML

Neuton, a no-code AutoML solution, makes Machine Learning available to everyone. Explore data insights and make predictions leveraging Automated Artificial Intelligence. • NO coding • NO need for technical skills • NO need for data science knowledge Neuton provides comprehensive...

See Software
GPT-4 Turbo

GPT-4 is a large multimodal model (accepting text or image inputs and outputting text) that can solve difficult problems with greater accuracy than any of our previous models, thanks to its broader general knowledge and advanced reasoning capabilities. GPT-4 is available in the OpenAI API to...

See Software
GPT-4

GPT-4 (Generative Pre-trained Transformer 4) is a large-scale unsupervised language model, yet to be released by OpenAI. GPT-4 is the successor to GPT-3 and part of the GPT-n series of natural language processing models, and was trained on a dataset of 45TB of text to produce human-like text...

See Software