Search Results for "machine learning platform" - Page 42

...I tried to render everything with OpenGL and as expected, found myself in the middle of a multitude of problems relating to it. The blocks look a lot cooler in 3d though, so I hope I'll manage to resume studying what went wrong and eventually fix it. If I had a Windows machine to do development on, I might try to rewrite everything in Unity, but until they make a Linux dev platform, I think I'll remain with pygame and pyOpenGL.

This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.

Spider that recollects data from MySpace Social Network. At now, it is only designed to extract information from native american people because it is used for a social science study in the UNAM (Universidad Nacional Autónoma de México).

A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.

A HTML scraper that uses machine learning frameworks to extract labelled fields from raw HTML. The project also involves the development of a tool to display the semi structured data generated by the scraper component.

Brainiac, Is C/C++ Libraries, Programs, And Python, And Lua Scripts For Neural Networking And Genetic Programming, In An Attempt To Create A "Glue-It-All-Together" Project, Striving Towards General Artificial Intelligence

Python Machine learning library with multi-core support. Wraps existing ML libraries in order to be able to run and analyse experiments with one front-end API. Currently supports MLP, GA, GP, ESN and RBF algorithms.

pygpr is a collection of algorithms that can be used to perform Gaussian process regression and global optimization.

New Python bindings for the popular OpenCV image processing library.

Definir un entorno (medio ambiente) y a micro-organismos (gunus) que vivan en el y se desarrollen es el objeto de este proyecto.

Python framework for video processing and content analysis using CUDA for acceleration.

LogoROS is new object-oriented operation system (currently in early development). See wiki page: https://sourceforge.net/apps/mediawiki/logoros/ and development blog: https://sourceforge.net/apps/wordpress/logoros/ for more info.

SF2 is a generic framework for constructing cloud computing platform. The framework provides snapshot-based replication, virtual machine placement on multiple sites, and gossip-based physical machine discovery.

This project is developing a modular framework for constructing machine intelligences. The modular approach allows for both rapid development of simple AI's and also construction of larger and more general learning based engines.

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).

Capivar Hunter is a simple 3d shooter written in Python/OpenGL intended as a learning platform to Game Development, Python and 3d Programming. Although it should be at least somewhat funny, the main objective of it is being simple and easy to extend.

Python SOAP is a free library implementing W3C's SOAP Protocol in the Python programming language. SOAP is an XML-based messaging protocol which is machine- and platform-independent.

Clipster is a very simple network clipboard that allows pasting text and images from a remote machine. It has been designed to be cross-platform from the ground up, but it needs help from you for that to happen!

VFML -- Very Fast Machine Learning toolkit. A collection of tools, learners, and APIs for working with high-speed data streams and very large data sets.

Betelgeuse is a machine learning modeling package designed to meet the requirements of heavy-duty industry use. It was designed to be efficient, reliable, and highly modular; it is developed primarily in Python to promote maintainability and rapid development, but uses Cython and C in critical bottlenecks for efficiency. It focuses on high-quality implementations of a diverse set of the most widely used machine learning algorithms.

pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...

The GNUton project is a re-implementation of the (defunct) Apple Newton platform. It consists of the virtual machine, storage architecture and templates for GUI and general OS features. It aims to support execution of existing pure NewtonScript packages

A scientific framework for testing and learning the learning of a computer.

This repo is built to collect multiple implementations for abstractive approaches to address text summarization it is built to simply run on google colab , in one notebook so you would only need an internet connection to run these examples without the need to have a powerful machine , so all the code examples would be in a jupyter format , and you don't have to download data to your device as we connect these jupyter notebooks to google drive

...ExoPlanet is designed to have a minimal learning curve, allowing researchers to focus on the applicative aspect of Machine Learning rather than their implementation details. It provides algorithms for unsupervised and supervised learning, which may be done with continuous or discrete labels. Post analysis, the toolkit further automates building the visual representations for the trained model.