Search Results for "dataset" - Page 5
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Showing 134 open source projects for "dataset"
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char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN)
...It is straightforward: you provide a single text file, train the model to minimize next-character prediction loss, then sample from the trained network to generate new text one character at a time in the style of the dataset. The project is designed for experimentation, offering tunable settings for depth, hidden size, dropout, sequence length, and sampling temperature to control creativity and coherence. It is frequently used as a learning project for understanding sequence modeling, recurrent training dynamics, and the practical details of text generation. -
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Question Answering Corpus
Question answering dataset in "Teaching Machines to Read & Comprehend"
RC-Data is a dataset generation framework created by Google DeepMind to produce large-scale reading comprehension question-answer pairs from CNN and Daily Mail news articles. The dataset, introduced in the 2015 paper “Teaching Machines to Read and Comprehend” (Hermann et al., NIPS 2015), was among the first large corpora designed to train and evaluate machine reading and comprehension models. -
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js-snail
An innovative way to visualise matrix
This is an offspring of an idea I had back in 2004 of a way to visualise and navigate within a dataset. The snail is like a metric with rows and columns but instead visualised in sectors and rows with a central level indicator that provides an aggregated indicator. One can switch view (global by sector, global by rows, details) by clicking the central indicator or selecting rows/sectors, and of course drill-down. This is based on D3 (d3js.org), the original one was in Flash. ... -
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QDAC3.0
QDAC 3.0 is a VCL & FMX data access component
...QDAC 3.0 Include follow sub components: QXml/QJson/QLog/QWorker/QSort/QExp/QDB etc. QDAC now is in progress. Follow is from QDAC 2.0: QDAC provide powerful memory dataset and can be load or save data to files , databases. Support follow formats load and save: * CSV/TXT * MDS(Binary format) * MDZ(Compressed binary format) * XML(ADO compatible) Support follow db in version 1.0: * PostgreSQL * SQLite(public or encrypt) More information please see the document. Url for 2.0:http://sourceforge.net/p/qdac 项目QQ群:250530692 项目主页:http://blog.qdac.cc -
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dotNetRDF is a .Net Class Library for working with RDF and SPARQL programatically built with C# 3 for the .Net Framework 3.5/4.0/Silverlight 4 and WIndows Phone 7. It provides a simple object model for representing RDF, SPARQL Queries and Updates and understands all common RDF and SPARQL syntaxes. Extensive documentation is available on the website and support is available via the mailing lists.
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Based on the Qt Python binding module PyQt4, guidata is a Python library generating graphical user interfaces for easy dataset editing and display. It also provides helpers and application development tools for PyQt4.
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LightAir Maven Plugin
Generates DbUnit dataset XSD from database in Maven plugin.
Maven plugin to generate XSD for DbUnit flat datasets from existing tables in a database. -
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MetaNet
Free portable library for meta neural network research
MetaNet provides free library for meta neural network research. MetaNet library contain feed-forward neural net realisation and several integrated dataset (MNIST). -
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Core Analyzer
A power tool to debug core dump, memory corruption, optimized code.
The project is now hosted on github: https://github.com/yanqi27/core_analyzer.git Core analyzer is a power tool to debug memory issues. With ever increasing complexity and dataset size of application programs, it is very challenging to find the root cause of a memory bug. Programmers often use debugger to go through many contexts or data objects in order to hunt down a suspicious variable or object. However, the task is boring, prone to error and usually fruitless. By parsing a core dump file or a live process's memory, core analyzer is able to scan the target's heap data for memory corruption, search the whole address space for data object's references, or analyze memory pattern. ... -
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ConvNetJS
Deep learning in Javascript to train convolutional neural networks
ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and... -
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NGSbinningpytools
Python tools for binning NGS scaffolds to various genomes.
...Now, it is possible to sequence all organisms present in a metagenomic community. However, a critical problem is to determine the host organism for each genomic fragment present in the dataset. This project provides the computational tools for assigning the organismal identity for each genomic scaffold in the given dataset. For more detailed documentation please refer to the link below: https://sourceforge.net/p/ngsscaffolds/wiki/Documentation/ -
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tedo
dom oriented javascript template for dynamic pages
...Example of usage is tedo.my_list.addLast() The goal is that it should be compatible with the newer versions of all big browsers both mobile and stationary, but it requires some newer features like classlist, dataset and elementNode references. -
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Calculates Natural Product(NP)-likeness of a molecule, i.e. the similarity of the molecule to the structure space covered by known natural products. NP-likeness is a useful criterion to screen compound libraries and to design new lead compounds. Maven dependancy: <dependency> <groupId>uk.ac.ebi.cheminformatics</groupId> <artifactId>NP-Likeness</artifactId> <version>2.1</version> </dependency> Required repository: <repositories> ...
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TrueSqlConnection
Data Access Block
...Specifically, the Data Access Block helps you: ● Call stored procedures or SQL text commands. ● Specify parameter details. ● Return SqlDataReader, DataSet, XmlReader objects, or single values. -
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VCL.JS
TypeScript component based framework for enterprise web application
...//Simple dbgrid bounded to a query import V = require("VCL/VCL"); export class PageHome extends V.TPage { constructor() { super(); //create a backend query var qur = new V.TQuery(this); qur.SQL = "SELECT CustomerKey, FirstName, LastName FROM Customers"; qur.open(); //create a grid on the screen var grd = new V.TDBGrid(this, "grid"); grd.Dataset = qur; //bind the grid to the dataset grd.PageSize = 15; var col = grd.createColumn(“FirstName”); var col = grd.createColumn(“Lastname”,”Last Name”); } } -
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pyIRDG
IMDb Relational Dataset Generator
pyIRDG is a program written in Python to generate relational datasets in Prolog format. It uses data from the Internet Movie Database in combination with IMDbPY as backend. A graphical user interface written in pyQt allows the user to link multiple entities together as model for the generation process. The big four entities are Title, Person, Company and Character. Many attributes can be chosen for adding to the output .pl file. Three types of constraints on attributes are available to limit... -
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DataRecords
TDatasetRecord is a Delphi class to represent a single TDataset record
Class to represent a single dataset record in a TParams collection with each TParam serving as a named field/value corresponding to a dataset field. It Also communicates with associated dataset in order to read and set it's fields structure and copy field values from/to dataset. -
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Malware Classifier
Perform quick, easy classification of binaries for malware analysis.
...Malware Classifier uses machine learning algorithms to classify Win32 binaries – EXEs and DLLs – into three classes: 0 for “clean,” 1 for “malicious,” or “UNKNOWN.” The tool was developed using models resultant from running the J48, J48 Graft, PART, and Ridor machine-learning algorithms on a dataset of approximately 100,000 malicious programs and 16,000 clean programs. The tool extracts seven key features from an unknown binary, feeds them to one of the four classifiers or all of them, and presents its classification of the unknown binary. -
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SciChart
Interactive Swing based Charting library to display science data
This free charting library supporting in the initial version line plot and bar plots. Provides: Axis sharing independent rescaling and panning of axis and datasets. Basic tooltips Legend displayer component with ability to select the active dataset. It is designed upon the Model View Controller paradigm. This mean that the dataset related API is abstracted in a model. This model is used by the swing components. Display related functionality is limited to the swing components with no interaction with the model. -
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DataSetEditor is a graphical editor for dbUnit XML dataset files. It includes a textual editor and, if database driver provided, imports table layouts from database.
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Messi is a REST ajax framework for java and php. Database is manipulated transparently via SQL statements using javascript. Records are fetched to browser as scrollable dataset linked to data-aware JS widges such as editable grid and various fields.
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This is a simple class library provided for generating structured query language (SQL) expressions from an XML criteria (somewhat like XQuery) and a Typed Dataset containing all required tables.
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Openminer, as a data mining engine, is developed on java for analysis of dataset with the methods of data mining. By making use of openminer, we could discovery the knowledge which interests us but hides in the raw data.
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Open Dataset eXtensions is a quite tiny but extremely powerful ORM framework. It utilizes all the power of ADO.NET and adds the natural ease of OOP. ODX delivers on-the-fly proxy generation, relations, polymorphy, remoting, offline, save points, etc.
