Search Results for "learn python source codes"
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Showing 35 open source projects for "learn python source codes"
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Secure remote access solution to your private network, in the cloud or on-prem.OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
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scikit-learn
Machine learning in Python
scikit-learn is an open source Python module for machine learning built on NumPy, SciPy and matplotlib. It offers simple and efficient tools for predictive data analysis and is reusable in various contexts. -
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Matplotlib
matplotlib: plotting with Python
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Matplotlib ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis helpers in axisartist. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot -
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Astropy
Repository for the Astropy core package
The Astropy Project is a community effort to develop a common core package for Astronomy in Python and foster an ecosystem of interoperable astronomy packages. Astropy is a Python library for use in astronomy. Learn Astropy provides a portal to all of the Astropy educational material through a single dynamically searchable web page. It allows you to filter tutorials by keywords, search for filters, and make search queries in tutorials and documentation simultaneously. The Anaconda Python... -
4
cuDF
GPU DataFrame Library
... with conda (miniconda, or the full Anaconda distribution) from the rapidsai channel. cuDF is supported only on Linux, and with Python versions 3.7 and later. The RAPIDS suite of open-source software libraries aims to enable the execution of end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization but exposing that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. -
Smart Monitoring for Any Network. Powered by Open Source.NMIS helps with fault, performance, and configuration management. It provides performance graphs, threshold alerting, and detailed notification policies with various methods. NMIS monitors an organization’s IT environment, helps identify and rectify faults, and provides valuable information for IT planning.
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Baby Buddy
Helps caregivers track sleep, feedings, diaper changes, and tummy time
A buddy for babies! Helps caregivers track sleep, feedings, diaper changes, tummy time and more to learn about and predict baby's needs without (as much) guesswork. A buddy to help caregivers track sleep, feedings, diaper changes, and tummy time to learn about and predict baby's needs without (as much) guess work. A demo of Baby Buddy is available on Heroku. The demo instance resets every hour. Baby Buddy is available in a variety of languages thanks to the efforts of numerous translators... -
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atpbar
Progress bars for threading and multiprocessing tasks on terminal
Progress bars for threading and multiprocessing tasks on the terminal and Jupyter Notebook. atpbar can display multiple progress bars simultaneously growing to show the progresses of iterations of loops in threading or multiprocessing tasks. atpbar can display progress bars on the terminal and Jupyter Notebook. atpbar can be used with Mantichora. atpbar started its development in 2015 as part of Alphatwirl. atpbar prevented physicists from terminating their running analysis codes, which would... -
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airda
airda(Air Data Agent
airda(Air Data Agent) is a multi-smart body for data analysis, capable of understanding data development and data analysis needs, understanding data, generating data-oriented queries, data visualization, machine learning and other tasks of SQL and Python codes. -
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Bayesian Optimization
Python implementation of global optimization with gaussian processes
... tour notebook to learn how to use the package's most important features. Take a look at the advanced tour notebook to learn how to make the package more flexible, how to deal with categorical parameters, how to use observers, and more. Explore the options exemplifying the balance between exploration and exploitation and how to control it. Explore the domain reduction notebook to learn more about how search can be sped up by dynamically changing parameters' bounds. -
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Metaflow
A framework for real-life data science
Metaflow is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning. -
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10
Cleanlab
The standard data-centric AI package for data quality and ML
... label issues and other data issues, so you can train reliable ML models. All features of cleanlab work with any dataset and any model. Yes, any model: PyTorch, Tensorflow, Keras, JAX, HuggingFace, OpenAI, XGBoost, scikit-learn, etc. If you use a sklearn-compatible classifier, all cleanlab methods work out-of-the-box. -
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Cookiecutter Data Science
Project structure for doing and sharing data science work
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. When we think about data analysis, we often think just about the resulting reports, insights, or visualizations. While these end products are generally the main event, it's easy to focus on making the products look nice and ignore the quality of the code that generates them. Because these end products are created programmatically, code quality is still important! And we're not talking... -
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tsfresh
Automatic extraction of relevant features from time series
tsfresh is a python package. It automatically calculates a large number of time series characteristics, the so called features. tsfresh is used to to extract characteristics from time series. Without tsfresh, you would have to calculate all characteristics by hand. With tsfresh this process is automated and all your features can be calculated automatically. Further tsfresh is compatible with pythons pandas and scikit-learn APIs, two important packages for Data Science endeavours in python... -
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rudderstack
Privacy and Security focused Segment-alternative, in Golang
Quickly deploy flexible, powerful customer data pipelines, then send the data to your entire stack—without the engineering headache. Our complete toolset makes it easy to level-up your customer data stack. Spare your data engineers the headache. Our 180+ integrations, along with custom webhook sources and destinations, save data teams hundred of hours. Say goodbye to different versions of the truth. Our SDKs track anonymous and known users at the source and reconcile users in your warehouse... -
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ScikitLearn.jl
Julia implementation of the scikit-learn API
The scikit-learn Python library has proven very popular with machine learning researchers and data scientists in the last five years. It provides a uniform interface for training and using models, as well as a set of tools for chaining (pipelines), evaluating, and tuning model hyperparameters. ScikitLearn.jl brings these capabilities to Julia. Its primary goal is to integrate both Julia- and Python-defined models together into the scikit-learn framework. -
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SOFA is a statistics, analysis, and reporting program with an emphasis on ease of use, learn as you go, and beautiful output.
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Qr Code Generator
Generate your Qr Codes for free. Easiest way to make Qr Codes.
Qr Code Generator is a program that generate your own Qr Codes. Just write Url/Words in the box then click Create button. You can save your Qr Codes. This program made by HorizonPublish for educational purposes. ⚠️Windows will show unknown application error, click 'More info ' then 'Run anyway'. -
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Electronic Shelf Label Management System
DIY Electronic Shelf Label Management System
..., and then saves it to the database. An electronic shelf label is a device that displays relevant product information, they're usually attached to the front edge of retail shelving. A typical ESL consists of a display and a simple microcontroller that controls the display. *V2.0 now supports ESP32 CYD You can learn more on: Github: github.com/Northstrix/Electronic-Shelf-Label-Management-System Instructables: https://www.instructables.com/DIY-Electronic-Shelf-Label-Management-System-V20/ -
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Deep learning time series forecasting
Deep learning PyTorch library for time series forecasting
... forecasting framework. Currently, Task-TS from CoronaWhy primarily maintains this repository. Pull requests are welcome. Historically, this repository provided open-source benchmarks and codes for flash flood and river flow forecasting. Full transformer (SimpleTransformer in model_dict): The full original transformer with all 8 encoder and decoder blocks. Requires passing the target in at inference. -
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JAGPI - Just Another GnuPlot Interface allows you to create graphs without any codes. While gnuplot, created from Gnu, is a tool to create plots and graphs, GnuPlot lacks a GUI to click and plot. Wouldn't it be nice to have GUI for GnuPlot? JAGPI is a GUI for GnuPlot. Referencing to jpg - a GUI for GnuPlot in Java, JAGPI is developed in C# and is more simple to use. Using GnuPlot.exe, you need to learn some codings or programming to create graphs. Using JAGPI, you do not need to learn any...
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HyperTools
A Python toolbox for gaining geometric insights
HyperTools is a library for visualizing and manipulating high-dimensional data in Python. It is built on top of matplotlib (for plotting), seaborn (for plot styling), and scikit-learn (for data manipulation). Functions for plotting high-dimensional datasets in 2/3D. Static and animated plots. Simple API for customizing plot styles. Set of powerful data manipulation tools including hyperalignment, k-means clustering, normalizing and more. Support for lists of Numpy arrays, Pandas dataframes... -
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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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Shuup
Open Source Multivendor Marketplace Software
Shuup is an open source e-commerce platform that allows you to build innovative custom marketplaces. Be it a niche single marketplace or a multivendor marketplace; a place to sell products, services or rentals; Shuup can create the custom multi-vendor business solution that you want. -
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StellarGraph
Machine Learning on Graphs
StellarGraph is a Python library for machine learning on graphs and networks. The StellarGraph library offers state-of-the-art algorithms for graph machine learning, making it easy to discover patterns and answer questions about graph-structured data. It can solve many machine learning tasks. Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can... -
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GNU Hyperbole: The Everyday Info Manager
Create hyperlinks just by dragging, find contacts instantly, ...
... stored across many different machines on the internet. People who get used to Hyperbole find it helps them so much that they prefer never to use Emacs without it. Hyperbole includes easy-to-use, powerful hypertextual button types and links that can be made without the need to learn a markup language. It also includes a hierarchical, record-based contact manager, a rapid window and frame control system and a powerful multi-level auto-numbered outliner. -
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myCStock
An other free stock market software in C++/Python
... are searching for a stable and complete software, you may come back later on... At the moment, the documentation is available on the Wiki and the source codes contain a doxygen configuration files which must compiled after downloading the source.