We believe that it’s possible for machines to become self-aware, but may not exhibit human-like thought processes. This project is a quest for conscious artificial intelligence. We will develop prototypes while we go for our main goal. Our steps will be 1) Develop a Learning/Predictive Module. 2) Develop a Planning Module based on the learning/predictive […]
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. Today’s small-to-medium-sized (SMB) businesses and large enterprises are saving on their monthly communications […]
Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. Cloudbased voice solutions are common in enterprise networks and frustrating for operations teams to manage. Simplify VoIP monitoring by having a proactive analysis of on-prem, hybrid and UCaaS voice services. Try the ThousandEyes […]
QSMM, a recursive acronym for “QSMM State Machine Model”, is a framework for learning finite automatons that perform goal-directed interaction with entities which exhibit deterministic or stochastic behavior. The learning process can be carried out in real time together with the interaction process. A basic building block for supporting state models of finite automatons is […]
ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes. Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with […]
Nunn implements an artificial intelligent framework written in modern C++11, which supports artificial networks able to learn by example and other machine learning algorithms. The project includes demo applications, which are an excellent prototype problem for neural networks learning: – mnist_test application lets you evaluate multiple net configurations on MNIST – ocr_test provides a GUI […]
Fast C++ matrix library with easy to use functions and syntax, deliberately similar to Matlab. Uses template meta-programming techniques. Also provides efficient wrappers for LAPACK, BLAS and ATLAS libraries, including high-performance versions such as OpenBLAS and Intel MKL. Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. For more details, see http://arma.sourceforge.net […]
The Simple Medical Imaging Library Interface (SMILI), pronounced ‘smilie’, is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard […]
Weka genetic algorithm filter plugin to generate synthetic instances. This Weka Plugin implementation uses a Genetic Algorithm to create new synthetic instances to solve the imbalanced dataset problem. See my master thesis available for download, for further details. 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 62 Reviews […]
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. If you are like the rest of our user community, your IT team is busy. With pressure to deliver […]