Search Results for "python samples"
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10 projects for "python samples" with 2 filters applied:
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Keep company data safe with Chrome EnterpriseMake AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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pydatascope
Software oscilloscope using Python and tkinter
Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually. -
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FusionCatcher
Somatic fusion-genes finder for RNA-seq data
FusionCatcher searches for novel/known somatic fusion genes, translocations, and chimeras in RNA-seq data (paired-end reads from Illumina NGS platforms like Solexa and HiSeq) from diseased samples. The aims of FusionCatcher are: - very good detection rate for finding candidate fusion genes, - very easy to use (i.e. no a priori knowledge of databases and bioinformatics is needed in order to run FusionCatcher), - very good detection of challenging fusion genes, like for example IGH... -
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S.E.E.R. 2 is a full featured SCADA / Historian / Aggregate Analysis System developed to work as a 'front end' for mod_openopc. Written in pure PHP (HTML 4.01 Transitional), and driven by a web-based user interface for universal deployment.
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QG fantasy maps plugins
Some pythons plugins to enhance fantasy maps creation with QGis
QGis permit the use of python script to handle maps. Here are some python code ready to use and modify, and some associated samples. -
G-P - Global EOR SolutionWith G-P's industry-leading Employer of Record (EOR) and Contractor solutions, you can hire, onboard and manage teams in 180+ countries — quickly and compliantly — without setting up entities.
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pipasic
pipasic: Protein Abundance Correction in Metaproteomic Data
Metaproteomic analysis allows studying the interplay of organisms or functional groups and has become increasingly popular also for diagnostic purposes. However, difficulties arise due to the high sequence similarity between related organisms. Further, the state of conservation of proteins between species can be correlated with their expression level which can lead to significant bias in results and interpretation. These challenges are similar but not identical to the challenges arising in... -
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PyBrella
Python script to automate umbrella sampling with AMBER
PyBrella is a script designed to automate the umbrella sampling process, using the AMBER molecular dynamics package. -
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Bika Open Source LIMS/LIS
Web based laboratory information management system
A web-based LIMS (Laboratory Information Management System) · Built in Plone · Professionally supported · Making waves · bi:ka (Zulu): tell it as it is More information and links to manuals, user forums, support and translations are available at https://www.bikalims.org/support-and-service-provision Bika community: www.bikalims.org Main project sponsor, Bika Lab Systems: www.bikalabs.com Inquiries: lemoene@bikalabs.com -
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Provide a reference implementation of Moving Taylor Bayesian Regression, a method for nonparametric multi-dimensional function estimation with correlated errors from finite samples, as a Python package based on SciPy
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pyscope
Software oscilloscope using Python and tkinter
Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually. It has been renamed "pdatascope" to avoid a name-clash with Pyscope, a scoping package on PyPi. See https://sourceforge.net/p/pydatascope/ for the latest code. -
Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
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