Search Results for "directory"
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Showing 12 open source projects for "directory"
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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.
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AWS Data Wrangler
Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.
An AWS Professional Service open-source python initiative that extends the power of Pandas library to AWS connecting DataFrames and AWS data-related services. Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON, and EXCEL). Built on top of other open-source projects like Pandas, Apache Arrow and Boto3, it offers abstracted functions to execute... -
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PySchool
Installable / Portable Python Distribution for Everyone.
PySchool is a free and open-source Python distribution intended primarily for students who learn Python and data analysis, but it can also used by scientists, engineering, and data scientists. It includes more than 150 Python packages (full edition) including numpy, pandas, scipy, sympy, keras, scikit-learn, matplotlib, seaborn, beautifulsoup4... -
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pyfolio
Portfolio and risk analytics in Python
pyfolio is a Python library for performance and risk analysis of financial portfolios developed by Quantopian Inc. It works well with the Zipline open source backtesting library. At the core of pyfolio is a so-called tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm. Here's an example of a simple tear sheet analyzing a strategy. Quantopian also offers a fully managed service for professionals that includes... -
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MIPPY
Modular Image Processing in Python
MIPPY is a minimalistic DICOM image browser with built-in image processing modules. Its modular design means it can be extended with any number of user-created modules for image processing and analysis. -
$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.
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APOD desktop
See the Astronomy Picture of the Day in your desktop!
[This is not the official application of APOD] APOD desktop is a program that permit see and navigate in the APOD directory of easy and fast form. Official webpage of APOD: https://apod.nasa.gov/apod/astropix.html ---------- ---------- ---------- ---------- ---------- Developed in: Python 3.4 with tkinter GUI Tested on: Windows 10 x64 bits Versions: 0.2 --> 08-02-2017 (actual) 0.1 --> 06-02-2017 Developer: Bryan Casanelli, student of physical civil engineering b.casanelli01@ufromail.cl / bryancasanelli@gmail.com -
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Chromensics - Google Chrome Forensics
A Google chrome forensics tool
The Chromensics tool is developed to read all information from chrome browser directory and present it to user, in easy readable tabular format which can be explored in descent interface without running the chrome browser. The tool will also allow you retrieve information from other chrome installation brought from different machine for analyzing. The acquired artifacts can be exported in PDF report to present it in court of law or to superiors. -
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GPSFileViewer
Application to browse and visualize your GPS files
Desktop application for browsing and visualizing GPS files on your local storage or on network. * Quickly navigate your GPS files using embedded file/track/metadata browser * Works with gpx, kml, and csv files * Show overview map of all tracks in directory * Filter tracks in browser based on metadata, location, and path * Color code track overview based on metadata, e.g., overall distance, start time * Simultaneously view one or more tracks on map while graphing detailed metadata (e.g., speed, elevation, hill gradient) * Quickly determine distance and duration for portions of tracks by mousing or dragging in the graph. ... -
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2DFLT
Program for Normalization, Averaging and Editing of In Situ Data Sets
...Resulted data can be saved as one flat file (FLT-format) which can be used for PSD/MED calculations via 2DMED software (http://sourceforge.net/projects/twodmed/?source=directory). 2DFLT specifically was written to target in situ X-ray Powder Diffraction data from synchrotron measurements. Hence it can read CHI, XYE (TOPAS), FXYE(GSAS/ GSASII) and XY- files formats. However it can read general in situ data written into individual TXT or XY – files. -
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Generic directory service (for the EPICS tool set). Directory entries are channels with properties and tags. Applications can query a web service to retrieve channels based on wildcard matching on properties and tags, and manipulate the directory data. Code has been moved to GitHub at https://github.com/ChannelFinder
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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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miRStat
identification of common sets of microRNAs for groups of genes
...This Python application is based on the TargetScan 6.2 microRNA target prediction data. Conserved and Nonconserved site context+ scores files are required (unzip and place to directory with program). Available at http://targetscan.org/cgi-bin/targetscan/data_download.cgi?db=vert_61 -
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Redundancy due to cut-paste operations in text creates bias in machine learning for NLP. This module takes a directory and produces a subset of the files in that directory (in a list) with an upper bound on similarity between two files.
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Directory of geoinformational data and metadata, like georeferenced list of streets in your city, or list of known nomenclature map tiles, and tools to process this data.
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