Search Results for "learning vector quantization" - Page 3

Mondrian is a browser-based drawing application that explores minimalist, grid-oriented composition in the spirit of geometric art. It provides a clean canvas for placing rectangles, lines, and color blocks, aiming to make creating crisp, balanced layouts feel immediate and fun. The interface favors direct manipulation—click, drag, resize, recolor—over menus and tool overload, so newcomers can produce striking designs quickly. Under the hood, it uses standard web tech to render shapes and...

Bolt is an open-source research project focused on accelerating machine learning and data mining workloads through efficient vector compression and approximate computation techniques. The core idea behind Bolt is to compress large collections of dense numeric vectors and perform mathematical operations directly on the compressed representations instead of decompressing them first. This approach significantly reduces both memory usage and computational overhead when working with high-dimensional data commonly used in machine learning systems. ...

Retrieval-Based Conversational Model in Tensorflow is a project implementing a retrieval-based conversational model using a dual LSTM encoder architecture in TensorFlow, illustrating how neural networks can be trained to select appropriate responses from a fixed set of candidate replies rather than generate them from scratch. The core idea is to embed both the conversation context and potential replies into vector representations, then score how well each candidate fits the current dialogue,...

...They can select mates, and they can gather and distribute food and material. This behavior is controlled by a genetically evolved neural net augmented with online back propagation learning. The back propagation learning uses a reward vector and plasticity matrix that is evolved as part of the genome. Long story short, the AI is pretty frickin' sophisticated. Players can take control of organisms, trade resources and organisms in a market, and aid evolution by selective breeding.

The Stanford Machine Learning Course Exercises repository contains programming assignments from the well-known Stanford Machine Learning online course. It includes implementations of a variety of fundamental algorithms using Python and MATLAB/Octave. The repository covers a broad set of topics such as linear regression, logistic regression, neural networks, clustering, support vector machines, and recommender systems.

SVM# is a svm(support vector machine) classification implemented in C#. The project contains both train and predict modules.

libit provides easy to use yet efficient tools for C for signal processing, coding, or scientific code in general. It includes basic vector, matrix and function types, some common source and channel coding tools such as quantization, entropy coding, etc.

A Python class library of tools for learning agents, including reinforcement learning algorithms, function approximators, and vector quantizations algorithms. (Pronounced "plastic".)

The simpleSVM project contains Machine Learning codes for algorithms based on the SimpleSVM. It provides methods for Support Vector Machines and related methods, such as One-Clas SVM, nu-SVM...

A program which retrieves TV program data and asks user which TV programs he / she'll watch that day. Using that data program learns the user preferences using machine learning algorithms (such as support vector machines).

AutoREALM is a free role-playing game mapping program originally made by Andrew Gryc. This program is an excellent mapping program that can design castles, caves, cities, dungeons and more. New developers are more than welcome! Previously, development were using Delphi language. Some attempts to rewrite it in other languages were done, but currently (since January 2012) there is an attempt or rewrite using those technologies: _ C++11 _ wxWidgets 2.9 (will be 3.0 when it will be...

A mini 3D computer graphics C++ cross-platform library (LGPL). Providing the minimum set of 3D objects: vector, point, transformation matrix, and quaternion. Suitable for students who are learning 3D concepts, or 3D gurus who like to build a scene-graph.

After the presentation on CeBIT 2004 fair finally available: SpamStop works as a Proxy between your Pop3-Client and the -Provider, it uses a Support Vector Machine to classfy incoming mails and automatically learns classifiers from samples of your mails.