337 projects tagged "Artificial Intelligence"
Updated 22 May 2013
Thinknowlogy
| Pop | 189.62 |
|---|---|
| Vit | 93.78 |
Thinknowlogy is grammar-based software designed to utilize the logic contained within grammar in order to create intelligence through a natural language, which is demonstrated by programming in a natural language, reasoning in a natural language (drawing conclusions, making assumptions (with a self-adjusting level of uncertainty), asking questions (about gaps in the knowledge), and detecting conflicts), and intelligent answering of "is" questions, providing alternative answers as well.
Updated 22 May 2013
newLISP
| Pop | 446.62 |
|---|---|
| Vit | 150.51 |
newLISP is a Lisp-like, general-purpose scripting language. It has all the magic of traditional Lisp, but is easier to learn and use. newLISP is friendly, fast, and small. Most of the functions you will ever need are already built in.
Updated 18 May 2013
NHI1
| Pop | 323.66 |
|---|---|
| Vit | 117.28 |
NHI1 is an attempt to create a non-human intelligence. It is composed of several sub-projects like theLink (formerly known as libmsgque) and theBrain, which is a persistent storage system able to save a data package from theLink without transformation.
Updated 15 May 2013
Mars Simulation Project
| Pop | 376.97 |
|---|---|
| Vit | 105.71 |
The Mars Simulation Project is an open source Java project to create a simulation of a future human settlement on the planet Mars.
Updated 30 Apr 2013
Wandora
| Pop | 253.77 |
|---|---|
| Vit | 44.40 |
Wandora is a general purpose data extraction, management, and publishing application based on Topic Maps and Java. Wandora has a graphical user interface, layered presentation of knowledge, several data storage options, rich data extraction, import and export capabilities, and an embedded HTTP server that enables dynamic publication of Topic Maps. Wandora is well suited for rapid ontology construction and knowledge mashups.
Updated 24 Apr 2013
Critterding
| Pop | 239.63 |
|---|---|
| Vit | 27.18 |
Critterding is a "Petri dish" universe in 3D that demonstrates evolving artificial life. Critters start out with completely random brains and bodies, but will automatically start evolving into something with much better survival skills.
Updated 26 Mar 2013
dlib C++ Library
| Pop | 403.09 |
|---|---|
| Vit | 52.53 |
dlib is a C++ library for developing portable applications dealing with networking, threads, graphical interfaces, data structures, linear algebra, machine learning, XML and text parsing, numerical optimization, Bayesian nets, and numerous other tasks.
Updated 17 Mar 2013
SHOGUN
| Pop | 295.45 |
|---|---|
| Vit | 31.20 |
SHOGUN is a machine learning toolbox whose focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It provides a generic SVM object interfacing to several different SVM implementations, all making use of the same underlying, efficient kernel implementations. Apart from SVMs and regression, SHOGUN also features a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons, and algorithms to train hidden Markov models. SHOGUN can be used from within C++, Matlab, R, Octave, and Python.
Updated 30 Dec 2012
MyMediaLite
| Pop | 85.77 |
|---|---|
| Vit | 12.49 |
MyMediaLite is a lightweight, multi-purpose library of recommender system algorithms. It addresses the two most common scenarios in collaborative filtering: rating prediction (e.g. on a scale of 1 to 5 stars), and item prediction from implicit feedback (e.g. from clicks or purchase actions). It contains dozens of recommender engines, including state-of-the-art matrix factorization methods. It also supports real-time updates to the recommender engines, storing engines to disk and reloading them again, and several evaluation measures to compare the accuracy of different recommender system methods. Three command-line programs that offer most of the functionality contained in the library are included.
Updated 12 Dec 2012
libagf
| Pop | 79.49 |
|---|---|
| Vit | 7.03 |
libagf is a fast, innovative implementation of adaptive or variable-bandwidth kernel-based estimators for statistical classification, PDF estimation, and interpolation/non-linear regression. It is written in C++ and includes simple, command line executables as well as easy-to-use libraries.
