Differentiation Learning

Weka packahe provides a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and...

Weka packahe provides a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and...

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built...


Platforms: Mac

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built...


Platforms: Linux

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built...


Platforms: Windows

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built...


Platforms: Windows

RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition.


Platforms: Mac

Installation - Unpack in your modules folder (usually /sites/all/modules/) and enable under Administer > Site Building > Modules.  Requirements: - Drupal 6.x


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

Segue is an open source content management system designed for e-learning that combines the ease of use of course management systems with the flexibility of weblogs for creating various types of sites including course, news, journal, peer review and e-portfolio. When integrated into an...


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

Pauker is a completely free (OpenSource, GPL) flash card based, learning application written in Java using the leitner cardfile system. It is available in Dutch, English, Esperanto, German, French and Polish.The application works offline without the need of an internet connection and is...


Platforms: Windows, Mac, *nix, Java, BSD Solaris

Main purpose of this project is to develop an Open Source system to deploy easily customizable learning applications. A specialized trainer should be able to access an online editor where he/she can specify a set of parameters. Those parameters are stored on the system and are accessible to the...


Platforms: Windows, Mac, *nix, Python, BSD Solaris

PyKanjiCard is a flash card program to aid learning japanese written words, inhiragana, katakana and kanji. You can select words composed only by charactersyou already known. It is written in Python, using Pygtk.


Platforms: Windows, Mac, *nix, Python, BSD Solaris

This project aspires to bring the utility of using the concept of flash cards for learning to computer desktops and hand held devices. Used on a handheld device, it virtually eliminates the need for carying paper based flash cards.


Platforms: Windows, Mac, *nix, Flash, BSD Solaris

This application is an open-source machine learning program for supervised classification of patterns (vectors of measurements). PCP implements the following algorithms and methods: - Fisher's linear discriminant - dimensionality reduction using Singular Value Decomposition - Principal...


Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

This project assists children with learning the alphabet and becoming more aware of the appearance of letters. It doesn't yet address the phonics of those letters correctly, although it does associate a word with that letter. Currently JILetters is a very simple application which presents a...


Platforms: *nix, Python, BSD

This is an instructional GUI to be used for learning how Euler angles, DCMs, quaternions, and Euler vector parameters relate in the rotation of cartesian frames (A to B). Can also be used to convert between all 4 values, however see below for a function that accomplishes this.Features:- All 12...


Platforms: Matlab

The file demonstrates interfacing Java with Matlab by using weka (Machine learning software, written in JAVA) as an example.


Platforms: Matlab

This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2).We didn't use any feature of neural network toolbox.


Platforms: Matlab

Complex step differentiation (CSD) is a superior numerical differentiation approach. Normally, it is more efficient and accurate than finite difference appraoch. This package provides a way to improve the MATLAB fmincon function using the CSD.


Platforms: Matlab

Complex step differentiation (CSD) is a superior numerical differentiation approach. Normally, it is more efficient and accurate than finite difference appraoch. This package provides a way to improve the MATLAB lsqnonlin function using the CSD.


Platforms: Matlab