Search Results for "problem a"
Sort By:
Showing 15 open source projects for "problem a"
View related business solutions-
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
FastQC
A quality control analysis tool for high throughput sequencing data
FastQC is a quality control analysis tool designed to spot potential problems in high throughput sequencing datasets. Its goal is to provide a simple way by which to check the quality of raw sequence data coming from high throughput sequencing pipelines. It does this by running a modular set of analyses on one or more raw sequence files in fastq or bam format. It then produces a report summarizing the results, and highlighting any areas where the library may appear unusual. This should then... -
2
ecang
Ethercat analyzer. Pcapng (by wireshark) to cvs files converter.
To diagnose a problem or simply to study the internal flow of information in an ethercat fieldbus, one of the common practices is to capture the flow of ethercat datagrams with an ethernet sniffer such as Wireshark (www.wireshark.org). Wireshark provides some filters to facilitate data analysis but the high amount of recorded information still makes an analysis complicated for many people who do not have a very deep knowledge of the ethercat protocol and Wireshark tools. -
3
...It incorporates advanced modeling techniques with high-performance algorithms to deliver the latest in end-use load modeling technology integrated with three-phase unbalanced power flow, and retail market systems. Historically, the inability to effectively model and evaluate smart grid technologies has been a barrier to adoption; GridLAB-D is designed to address this problem. User documentation can be found at: http://gridlab-d.shoutwiki.com/wiki/Quick_links The source code is available from GitHub. See https://github.com/gridlab-d/gridlab-d. Issue tracking is handled by GitHub. See https://github.com/gridlab-d/gridlab-d/issues.
-
4
Priority Estimation Tool (AHP)
PriEsT is a decision making tool for Analytic Hierarchy Process (AHP).
Priorty Estimation Tool (PriEsT) is a decision analysis tool. You can use it for ranking the options you have, or alternatively, you may use it for resource allocation (budgeting) problems. In PriEsT, you enter a list of available options and then define your criteria for prioritization. After defining criteria, PriEsT allows you to enter your judgements against each criterion, which are then used to calculate the final ranking (or weights). Please cite this if you find it... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
5
Animal Studies
Animal Studies
...Animal Studies application is web-based and completely customizable, with Animal Studies it is very simple to create, change and distribute data flows using an iterative approach. Animal Studies puts all the information right at your fingertips. If you are experiencing problems using the Animal Studies System then please report your problem to support@atgclabs.com -
6
MetricKnn
Fast Similarity Search using the Metric Space Approach
MetricKnn is an open source library to address the problem of similarity search, i.e., to efficiently locate objects that are close to each other according to some distance function. MetricKnn is comprised of: * Command Line, which is able to perform similarity searches through console commands. Available for Windows and Linux. * C API, which provides the implementation of different indexes, distances and search methods -
7
Functional Mechanism
Regression Analysis under Differential Privacy
Functional Mechanism is a differentially private method designed for a large class of optimization-based analyses. The main idea is to enforce epsilon-differential privacy by perturbing the objective function of the optimization problem, rather than its results. Please cite the following paper if you choose to use this code: J. Zhang, Z. Zhang, X. Xiao, Y. Yang, and M. Winslett. Functional Mechanism: Regression Analysis under Differential Privacy. PVLDB 5(11):1364-1375, 2012. -
8
Arachne
Exploration of a Hierarchical+Functional Approach To Data Organization
...The core of the project is in the class definitions contained within arachne.py, a demonstration of how this method of arranging data can be used to solve a relatively interesting problem may be found in test.py -
9
National University Community Research Institute's NU KEEPERRHHATT Algorithmic Framework is a series of meta-algorithms based upon the Longest Hamiltonian Path Problem for finding high level explanations to social, economic and political behaviour.
-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
10
-
11
FORce based Cluster Editing (FORCE) is a Java software heuristically solving the graph cluster editing problem on weighted edges using BLAST E-values. It further provides a training mode for heuristic parameter estimation.
-
12
The bandit project is a repository of the various known algorithmic solutions for the multi-armed bandit problem. The project is also a repository of several datasets that could be used for benchmarking purposes.
-
13
Software for 2D stock cutting. It solves the important and difficult problem of material economy on the manufacture.
-
14
VKAS - a genetic function finder
An AI program that deploys genetic programming
VKAS uses genetic programming methods to find out the relationship among a set of independent and dependent variable. It is a problem solver software which uses evolutionary computing methods. When vkas is run, it creates a population of chromosomes at random. This population is then genetically modified and next population is generated. Each population is subjected to fitness calculation and if a suitable answer chromosome is found then vkas stops and the answer is printed. ... -
15
- Previous
- You're on page 1
- Next
