Einfache Projektliste Software-Karte

64 Projekte im Ergebnis
Letztes Update: 2013-11-02 01:00

pyuds

pyuds is a Python library for measuring uncertainty in the Dempster-Shafer theory of evidence. The functionals supported are the Generalized Hartley (GH) uncertainty functional, Generalized Shannon (GS) uncertainty functional, and Aggregate Uncertainty (AU) functional. The library can be utilized either through its API, or through a user-friendly Web interface.

(Machine Translation)
Letztes Update: 2012-07-13 20:59

Treba

Treba is a commandline tool for training, decoding, and calculating with weighted (probabilistic) finite state automata (WFSA/PFSA). Training algorithms include Baum-Welch (EM), Viterbi training, and Baum-Welch augmented with deterministic annealing. Treba is optimized for speed and numerical stability, and training algorithms can be run multi-threaded on hardware with multiple cores/CPUs. Forward, backward, and Viterbi decoding are supported. Automata for training/decoding are read from a text file, or can be generated randomly or with uniform transition probabilities with different topologies (ergodic or fully connected, Bakis or left-to-right, or deterministic). Observations used for training or decoding are read from text files compatible with AT&T finite state tools and OpenFST.

(Machine Translation)
Letztes Update: 2010-05-06 13:12

scikits.learn

scikits.learn is a Python module that integrates classic machine learning algorithms in the tightly-knit world of scientific Python packages. It aims to provide simple and efficient solutions to learning problems that are accessible to everybody and reusable in various contexts: machine-learning as a versatile tool for science and engineering.

Letztes Update: 2012-12-08 03:43

vectorz

Vectorz is a fast double-precision vector and matrix math library for Java. It's meant for use in games, simulations, raytracers, etc., where fast vector math is important. It can do over one billion 3D vector operations per second on a single thread.

(Machine Translation)
Letztes Update: 2011-08-22 14:52

Mee5

Mee5 is a set of runtime bindings for the See5 decision tree. It provides a shared library (or DLL) and C, C++, and Python bindings, and adds the possibility to have many clearly separated instances of an application's trees.

(Machine Translation)
Betriebssystem: Linux, Windows
Programmiersprache: C, C++, Python
Letztes Update: 2013-09-05 02:09

Libnabo

libnabo is a fast K Nearest Neighbor library for low-dimensional spaces. It provides a clean, legacy-free, scalar-type–agnostic API thanks to C++ templates.

(Machine Translation)
Letztes Update: 2009-08-19 09:09

x2search

x2search is a crawler based on machine learning algorithms that finds pages and documents that are similar to given positive and different to given negative examples. The learned classifiers can be exported and saved for later reuse. It features multiple settings for searching by domain/server, etc. and has a plug-in mechanism for adding document types to be searched.

Letztes Update: 2014-05-11 19:12

OpenCog

OpenCog is an Open Source software project aimed at directly confronting the AGI challenge, based on mathematics and using biologically inspired algorithms, including algorithms for common-sense reasoning and machine learning. Components include natural language processing and speech generation, robotics, game control, and vision.

(Machine Translation)
Letztes Update: 2015-01-09 03:51

openModeller

openModeller は種の潜在的な分布のモデル化のための完全な C++ フレームワークです。また、プロジェクトには Python にはグラフィカル ユーザー インターフェイス、web サービス インターフェイスおよび API が含まれています。

(Machine Translation)
Letztes Update: 2016-01-04 10:27

cdescent

A pure C implementation of a library to obtain lasso, elastic net, smooth lasso, the L1 regularized linear regression and variable selection estimator based on coordinate descent algorithm.

Entwicklungsstatus: 4 - Beta
Zielbenutzer: Science/Research
Betriebssystem: Linux
Programmiersprache: C, C++
Register Date: 2014-10-24 22:57

som

自己組織化写像(SelfOrganizingMap)をJavaで実装するプロジェクトです

Entwicklungsstatus: 3 - Alpha
Zielbenutzer: Science/Research
Natürliche Sprache: English, Japanese
Programmiersprache: Java
Benutzerschnittstelle: Java Swing
Register Date: 2013-01-31 15:14

dlskeidnjgnsld-room00001

dlskeidnjgnsld's room Learning

Register Date: 2019-10-27 14:06
Letztes Update: 2012-05-20 12:28

並列版SVM

並列版のSupport Vector Machine(SVM)の開発を進めます。主な使用言語はFortranで、OpenMPによって並列化しております。今後、機能を拡張して行ければいいな~と考えています。

Entwicklungsstatus: 4 - Beta
Natürliche Sprache: Japanese
Betriebssystem: Linux
Programmiersprache: C, Fortran
Benutzerschnittstelle: Command-line
Register Date: 2011-02-16 10:28
Letztes Update: 2015-11-06 06:47

Scikit Learn

Pythonの機械学習フレームワーク

Letztes Update: 2013-05-18 00:42

openSMILE

OpenSMILE(SMILE = Speech & Music Interpretation by Large Space Extraction)は,「音声認識」「音楽認識」「パラ言語認識」の研究向けに作られた,高速かつリアルタイムに(音声)特徴量を抽出するユーティリティです.EUの「第7次研究枠組み計画」に基づき,ミュンヘン工科大学が開発しています.