Search Results for "planning" - Page 9
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Showing 208 open source projects for "planning"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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A Graphical Editing Framework(GEF), for Python. It provides a canvas similar to wxArt2D and a editing framework based on MVC. The framework can be used to develop scientific and engineering tools that require graphical editing.
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GpxBase - simple GPS data manipulation Copy/Move/Delete/Update Waypoints/Tracks/Routes within a list of GPX/KML files. Open source solution to keep track of personal GEO Data Base from different sources (GPS devices, Google software and other).
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PyEsp - Enhanced/Evolving/Extensible Semantic Profiling. This Python program will sort and filter search results by applying semantic profiling on web pages. The program will learn the user preferences and profiling will be done on the client computer.
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This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
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Farmer Apps
Suite of applications for farmers of all types.
This is a suite of tools for farmers it includes local market prices for their sales, weather reports, other features useful to farmers. -
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Python program devoted to study the relationship between cells during inmune response. It is based on a 3D periodic boundary conditions grid where cells see each other and react according to certain movement, growth and interaction rules.
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Simulador de trânsito. Objetivos: - Criar um modelo de trânsito, abrangendo espaço urbano, automóveis e motoristas; - Permitir pesquisa a respeito de otimização do trânsito. Escrito em Delphi (ou não).
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trimAl can consider several parameters, alone or in multiple combinations, in order to select the most-reliable positions in the alignment. These include the proportion of sequences with a gap, the level of residue similarity and, if several alignments for the same set of sequences are provided, the consistency level of columns among alignments. Moreover, trimAl allows to manually select a set of columns and sequences to be removed from the alignment. trimAl implements a series of...
