Armadillo is a C++ linear algebra library (matrix maths) aiming towards a good balance between speed and ease of use. The API is deliberately similar to Matlab's. Integer, floating point, and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS numerics libraries. A delayed evaluation approach, based on template meta-programming, is used (during compile time) to combine several operations into one and reduce or eliminate the need for temporaries.
相关项目TERASOLUNA Framework, SharpDevelop-jp, MeCab, MPC-BE, Dumpper v.60.3
SOFA is a statistics, analysis, and reporting program with an emphasis on ease of use, learning as you go, and beautiful output. SOFA can connect directly to your database and lets you display results in an attractive format ready to share or put in a spreadsheet. SOFA will help you learn as you go, whether you are a student, business analyst, or researcher.
相关项目MP3Gain, Programming Language ADP, DeSmuME, cdescent, SmillaEnlarger
The Shared Scientific Toolbox is a library that facilitates development of efficient, modular, and robust scientific/distributed computing applications in Java. It features multidimensional arrays with extensive linear algebra and FFT support, an asynchronous, scalable networking layer, and advanced class loading, message passing, and statistics packages.
The program arbtt, the automatic rule-based time tracker, allows you to investigate how you spend your time, without having to manually specify what you are doing. arbtt records which windows are open and active, and provides you with a powerful rule-based language to afterwards categorize your work.
Strategico is an engine for running statistical analysis over groups of time series. It can manage one or more groups (projects) of time series: by default, you can get data from a database or CSV files, normalize them, and then save them inside the engine. The first statistical analysis implemented inside Strategico is the "Long Term Prediction": it automatically finds the best model that fits each time series. Some of the models implemented are mean, trend, linear, exponential smoothing, and Arima. Strategico is scalable: the statistical analysis over each time series (of a project) can be run separately and independently. It is suggested that you set up an HPC Cluster (High Performance Computing) and/or use a resource scheduler like slurm. It is developed with R, one of the most famous statistical languages.
n2 is a client/server system for transmitting forensic snapshots from a number of hosts to a receiver node. This receiver collects statistics and is able to present an overview of the current and historical situation on a server. n2 provides a robust solution for real-time monitoring, optimizing performance, and analyzing crashes.
pepper is a commandline tool for retrieving statistics and generating reports from source code repositories. It ships with several graphical and textual reports, and is easily extensible using the Lua scripting language. It includes support for multiple version control systems, including Git and Subversion.
superseriousstats is a small and efficient program for creating a Web page with statistics from various types of IRC logs. It keeps track of its parse history and only processes new activity before storing any accumulated data in a SQLite or MySQL database. It is suitable for high volume IRC channels and large log archives, and is relatively easy to integrate with IRC services (e.g. bots) that interact with the database and provide last seen information and many other statistics directly in your channel.
Countly is a real-time, mobile analytics application. It collects event data from mobile phones and visualizes this information to analyze mobile application usage. Countly dashboard gives a complete overview of your application's performance. You can view detailed metrics, including session length, hardware type, operator (carrier), connection type or speed, activity length, and more.
MLPACK is a C++ machine learning library with an emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. It contains algorithms such as k-means, Gaussian mixture models, hidden Markov models, density estimation trees, kernel PCA, locality-sensitive hashing, sparse coding, linear regression and least-angle regression.
Statistics-Descriptive is a Perl module to perform Statistical Analysis on numeric data. It can retrieve such things as the mean (or average), the median, the standard deviation, a histogram/frequency analysis, etc.
相关项目iReport-Designer for JasperReports, Speech Signal Processing Toolkit(SPTK), cdescent, OpenICA, TuxGuitar
KeyFrog monitors the keyboard and visualizes its
usage statistics. The user can obtain much
information about keyboard activity: the intensity
of keyboard usage, how was it distributed in time,
which applications were used, etc. This may be
very useful, for example, to developers to monitor
their productivity. The environment being monitored is the X Window System (text applications are explicitly supported if run inside an X terminal).
相关项目Media Player Classic - Home Cinema, Samurai Graph, Dumpper v.60.3, FOMAUSBDriver for Mac OS X, Wireshark
Accord.NET provides statistical analysis, machine learning, image processing, and computer vision methods for .NET applications. The Accord.NET Framework extends the popular AForge.NET with new features, adding to a more complete environment for scientific computing in .NET.
相关项目Media Player Classic - Home Cinema, ChaKi, Programming Language ADP, Dumpper v.60.3, Eos-Image Analysis Environment
ボランティア ベースのシステム、インターネット上の研究へようこそ ！このシステムは、インターネットで使用されるアプリケーションについての詳細データを提供するために設計されています。この情報を使用することができます:-アプリケーションは、ユーザー (たとえばは、接続されるアプリケーションの種類使用は) インターネット接続の利用に関するいくつかの基本的な統計を提供する - 別のアプリケーションまたは異なるグループ トラフィック ジェネレーターを作成してアプリケーションによって生成されたトラフィックの科学的なプロファイルを作成するネットワークでは使用最も頻繁に知識を得るトラフィックを模倣する生成された特定のアプリケーションが、または実際のトラフィックの QoS ネットワークでユーザーのレベルとネットワークのコアのスマート評価を実装する - 機械学習アルゴリズム - 多くの場合を訓練するために:-) ために必要な正確なデータを取得するネットワークを模倣するには
相关项目Win32 Disk Imager, Dumpper v.60.3, Media Player Classic - Home Cinema, MPC-BE, Wireshark