Search Results for "classification" - Page 21
Sort By:
Showing 774 open source projects for "classification"
View related business solutions-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
1
“Arabic Wikipedia into Named Entity Taxonomy” is a dataset consists of 4000 of Arabic Wikipedia articles that classified into coarse-grained NE taxonomy. This dataset can be used in document classification tasks in relation to NER. To use this corpus, please cite the following publication: F. Alotaibi and M. Lee, "Mapping Arabic Wikipedia into the Named Entities Taxonomy", In Proceedings of COLING 2012: Posters, p43-52, IIT, Mumbai, India, December 8-15. 2012. Author URL: http://www.cs.bham.ac.uk/~fsa081/index.html http://fsalotaibi.kau.edu.sa Email: fsalotaibi {AT} kau.edu.sa fsa081 {AT} cs.bham.ac.uk
-
2
scopeplusplus
SCOPE++: Sequence Classification Of homoPolymer Emissions
SCOPE++ is a C++-based program for accurately identifying homopolymer in cDNA sequences using Hidden Markov Models. This can be extended to trimming poly(A)/poly(T) tails, or identifying A,C,G,T,or N homopolymer sequences. -
3
MetaDomain
Protein domain classification for short sequences
MetaDomain is a protein domain classification tool designed for very short next-generation sequencing reads. It achieves better sensitivity and low false positive rate compared with the state-of-the-art profile hidden Markov model (profile HMM) alignment tool in identifying encoded domains from short sequences. -
4
SALT
Sensitive and accurate protein domain classification for short reads
SALT is designed to sensitively and accurately classify short sequences into their native protein domain families with extremely low memory usage. -
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.
-
5
-
6
BudgetedSVM
BudgetedSVM: A C++ Toolbox for Large-scale, Non-linear Classification
We present BudgetedSVM, a C++ toolbox containing highly optimized implementations of three recently proposed algorithms for scalable training of Support Vector Machine (SVM) approximators: Adaptive Multi-hyperplane Machines (AMM), Budgeted Stochastic Gradient Descent (BSGD), and Low-rank Linearization SVM (LLSVM). BudgetedSVM trains models with accuracy comparable to LibSVM in time comparable to LibLinear, as it allows solving highly non-linear classi fication problems with millions of... -
7
LiveLoad
Military Load Classification based on GTA 05-07-13
Liveload is a calculator that automates the algorithm used in US Army GTA 05-07-13 to classify military bridges by load capability, or MLC. -
8
Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
-
9
Code for Semi-Supervised Machine Learning Techniques, Self-Learning and Co-training used in the paper: Rania Ibrahim, Noha A. Yousri, Mohamed A. Ismail and Nagwa M, El-Makky. “miRNA and Gene Expression based Cancer Classification using Self-Learning and Co-Training Approaches”. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 495-498, 2013. --------------------------------------------------------------------------- For Self-Learning: java -jar -Xms1700m SelfLearner.jar [trainFile] [testFile] [labelFile] [unlabeledFile] [Alpha] [ClassifierType(randomforest,svm)] [resultFile] [ClassifierModelFile] For Co-Training: java -jar -Xms2500m CoTraining.jar [trainFile-Side1] [testFile-Side1] [labelFile-Side1] [unlabeledFile-Side1] [trainFile-Side2] [testFile-Side2] [labelFile-Side2] [unlabeledFile-Side2] [MappingFile] [Alpha] [ClassifierType(randomforest,svm)] [resultFile] [ClassifierModelFileSide1] [ClassifierModelFileSide2]
-
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
-
10
-
11
webtextanalysis
Mining knowledge from text data
This project aims to implement in java the following text mining techniques: Text Language Detection, Keywords and keyphrases extraction, Text Classification, Text Clustering, Single or multiple documents Summarization, Plagiarism Detection. -
12
...This package adapts the following 5 algorithms for classifying and predicting gene expression data using prior knowledge: 1) average gene expression of pathway (aep); 2) pathway activities classification (PAC); 3) Hub network classification (hubc); 4) filter via top ranked genes (FrSVM); 5) network smoothed t-statistic (stSVM).
-
13
ViennaMesh provides an unified interface for various mesh related tools and can therefore serve as a flexible meshing backend for various applications which are in dire need for mesh generation, adaptation and classification.
-
14
The Apelon DTS (Distributed Terminology System) is an integrated set of open source components that provides comprehensive terminology services in distributed application environments.
-
15
RDP FrameBot is a frameshift correction and nearest neighbor classification tool for use with high-throughput amplicon sequencing. It uses a dynamic programming algorithm to align each query DNA sequence against a set of target protein sequences, produces frameshift-corrected protein and DNA sequences and an optimal global or local protein alignment. It also helps filter out non-target reads. The online version of FrameBot is available on http://fungene.cme.msu.edu/FunGenePipeline, tutorial http://rdp.cme.msu.edu/tutorials/framebot/RDPtutorial_FRAMEBOT.html. ...
-
16
classsification
apples pears classification
-
17
...Rho et al., "De novo identification of LTR retrotransposons in eukaryotic genomes", BMC Genomics (2007) 8:90. 2. M. Rho and H. Tang, "MGEScan-non-LTR: computational identification and classification of autonomous non-LTR retrotransposons in eukaryotic genomes", Nucleic Acids Research (2009) 37:21.
-
18
Protdraw
Create portable, flexible domain drawings of protein sequences
...ProtDraw is accompanied by makeProtDraw, a helper program which runs hmmer3 on a specified set of hidden Markov models and formats results for ProtDraw. Highest-scoring domains are selected in cases of overlap. Domain drawings may be organized by sequence classification. -
19
ImageSorterBOW
Program for classification and sort images by contest.
Program for classification and sort images by contest. It is based on implementation OpenCV Bag of visual world method. -
20
bnns
Research tool for interactive training of artificial neural networks.
...It enables users to simulate, visualize and interact in the learning process of a Multi-Layer Perceptron on tasks which have a 2D character. Tasks like the famous two-spirals task or classification of satellite image data. -
21
CAPE RNA
Classification based Analysis of Paired Expression data of RNA
CAPE RNA is package of command-line tools for integrated analysis of miRNA-mRNA expression data. miRNA-mRNA interaction states are assigned for each sample independent of a priori known experimental groups. Using these interaction classifications Jaccard-indexes are calculated to evaluate the quality of a predicted interaction based on the distribution of assigned interaction states compared to experimental groups. In addition, negative correlation between miRNA and mRNA expression can be analyzed. -
22
Cost-sensitive Classifiers
Adaboost extensions for cost-sentive classification
...Minimum expected cost criteria Input also requires to load an arff file and a cost matrix (sample arff and cost files are uploaded for users' reference) This extension uses weka for classification and generates the classification model along with confusion matrix. For given dataset and cost matrix -
23
CalPCS
A pitch class set analyzer.
...System requeriments: Java Runtime Environment 1.6 or above. Screen of at least 800x600px. Optional: A Java Sound Bank. The program displays for each set their normal order, classification, transposition, whether it is an inversion, prime form, interval vector and the invariant property. -
24
Graphlet kernel framework
Calculates similarity between neighborhoods of two vertices in a graph
...The list of available similarity functions includes: cumulative random walk, standard random walk, standard graphlet kernel, edit distance graphlet kernel, label substitution graphlet kernel and edge indel graphlet kernel. The graphlet kernel framework can be used for vertex (node) classification in graphs, kernel-based clustering, or community detection. If you use this framework, please cite the following paper: Lugo-Martinez J, Radivojac P. Generalized graphlet kernels for probabilistic inference in sparse graphs. Network Science (2014) 2(2): 254-276. -
25
