Results for: edmonds-karp algorithm implementation in python

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Algorithmic Trading Software
Algorithmic trading software enhances and automates trading capabilities for trading financial instruments such as equities, securities, digital assets, currency, and more. Algorithmic trading software, also known as algo trading software or automated trading software, enables the automatic execution of trades depending on occurrences of specified criteria, indicators, and movements by connecting with a broker or exchange.
Mentoring Software
Mentoring software is a type of software designed to facilitate the mentor-mentee relationship. It provides users with tools for scheduling, tracking progress, providing feedback, and developing plans for growth. The software can be used as a standalone system or integrated into existing enterprise solutions. Mentoring software allows organizations to easily manage and monitor their mentorship programs remotely and efficiently.
Data Science Software
Data science software is a collection of tools and platforms designed to facilitate the analysis, interpretation, and visualization of large datasets, helping data scientists derive insights and build predictive models. These tools support various data science processes, including data cleaning, statistical analysis, machine learning, deep learning, and data visualization. Common features of data science software include data manipulation, algorithm libraries, model training environments, and integration with big data solutions. Data science software is widely used across industries like finance, healthcare, marketing, and technology to improve decision-making, optimize processes, and predict trends.
Identity Resolution Software
Identity resolution software enables organizations to identify and track the identity of customers, users, or potential customers across multiple devices and services. Identity resolution solutions are very helpful for running personalized campaigns across different channels and devices.
Augmented Reality Software
Augmented reality software is used to create interactive computer-generated 3D models and simulations that can be projected and manipulated.
Computer Vision Software
Computer vision software allows machines to interpret and analyze visual data from images or videos, enabling applications like object detection, image recognition, and video analysis. It utilizes advanced algorithms and deep learning techniques to understand and classify visual information, often mimicking human vision processes. These tools are essential in fields like autonomous vehicles, facial recognition, medical imaging, and augmented reality, where accurate interpretation of visual input is crucial. Computer vision software often includes features for image preprocessing, feature extraction, and model training to improve the accuracy of visual analysis. Overall, it enables machines to "see" and make informed decisions based on visual data, revolutionizing industries with automation and intelligence.
Advanced Distribution Management Systems (ADMS)
Advanced Distribution Management Systems (ADMS) is a suite of integrated, digital tools for power utility companies. It enables utilities to monitor and control their networks in ways that weren’t previously possible. ADMS provides an overall operational picture of the grid along with increased visualization of current system conditions. This data, in addition to real-time analytics, helps utilities make more informed decisions about the operation and maintenance of their networks. Furthermore, ADMS allows for effective forecasting and asset management as well as energy trading capabilities. By having this advanced technology in place, power distribution can be optimized while reducing cost and increasing safety.
AI Coding Assistants
AI coding assistants are software tools that use artificial intelligence to help developers write, debug, and optimize code more efficiently. These assistants typically offer features like code auto-completion, error detection, suggestion of best practices, and code refactoring. AI coding assistants often integrate with integrated development environments (IDEs) and code editors to provide real-time feedback and recommendations based on the context of the code being written. By leveraging machine learning and natural language processing, these tools can help developers increase productivity, reduce errors, and learn new programming techniques.
Natural Language Generation Software
Natural language generation software is computer-generated software designed to create natural-sounding output. It can generate text from structured data sources such as databases, or from unstructured sources like audio or video recordings. The output of this software can be used for various tasks such as summarizing information or producing news articles. Natural language generation technology is commonly used in applications that require automated content creation and natural language processing algorithms.
Customer Onboarding Software
Customer onboarding software helps businesses guide new customers through the setup, activation, and adoption of their products or services. It provides structured workflows, checklists, and progress tracking to ensure every customer receives a consistent onboarding experience. Many platforms include automated emails, in-app guidance, task reminders, and personalized content to improve engagement and reduce time-to-value. The software also offers analytics to help teams monitor customer health and identify bottlenecks in the onboarding process. Overall, customer onboarding software improves satisfaction, accelerates product adoption, and supports long-term customer success.
Change Management Software
Change management software is a tool used to coordinate changes and improve the effectiveness of varying processes. It enables organizations to track and manage change requests, assess impact, approve or reject change proposals, assign tasks to relevant personnel, and monitor progress until completion. Change management software also allows users to document all changes for audit and compliance purposes. Additionally, it provides notifications and automated workflows which simplify the process of adapting to organizational change. Finally, the software can enable collaboration between team members by providing them with access to data stored in one central repository.
Product Recommendation Engines
Product recommendation engines use algorithms and customer data to suggest personalized products to users based on their browsing behavior, past purchases, or preferences. These platforms analyze large sets of data, such as customer interactions and purchase history, to identify patterns and recommend products that are most likely to interest the individual customer. Product recommendation engines help e-commerce businesses increase sales and customer engagement by offering a more personalized shopping experience. By integrating these engines, businesses can provide relevant suggestions, improve conversion rates, and enhance customer satisfaction.
Code Search Engines
Code search engines are specialized search tools that allow developers to search through codebases, repositories, or libraries to find specific functions, variables, classes, or code snippets. These tools are designed to help developers quickly locate relevant parts of code, analyze code quality, and identify reusable components. Code search engines often support various programming languages, providing search capabilities like syntax highlighting, filtering by file types or attributes, and even advanced search options using regular expressions. They are particularly useful for navigating large codebases, enhancing code reuse, and improving overall productivity in software development projects.
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8763 Products for "edmonds-karp algorithm implementation in python"

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  • 1
    pywinauto

    pywinauto

    pywinauto

    pywinauto is a set of python modules to automate the Microsoft Windows GUI. At its simplest it allows you to send mouse and keyboard actions to Windows dialogs and controls. pywinauto can be installed with pip and conda. Python is a great programming language, but there are no automation tools that were Pythonic (very few libraries were implemented in Python).
    Starting Price: Free
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  • 2
    AlgoExpert

    AlgoExpert

    AlgoExpert

    AlgoExpert is a paid online platform that helps software engineers prepare for technical interviews. It offers a curated set of 150 data structures, algorithms, and problem-solving questions that span 15 categories and 4 difficulty levels. Each question comes with a 2-part video explanation that provides a conceptual overview of the algorithm, including how best to approach, implement, optimize, and analyze the problem. Then, it gives a walkthrough of the code in Python.
    Starting Price: $99
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  • 3
    Faiss

    Faiss

    Meta

    Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research.
    Starting Price: Free
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  • 4
    Build Alpha

    Build Alpha

    Axiom Futures

    Build Alpha uses a genetic algorithm to create thousands of algorithmic trading strategies at the click of a button. Combine, test and create millions of entry and exit signals with no coding necessary. Find complimentary filters to existing rules, improve existing strategies or create new ones. Ability to backtest, stress test and generate code from one algorithmic trading software with no code.
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    9 Ratings
    Starting Price: $1500 one-time
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  • 5
    MPCPy

    MPCPy

    MPCPy

    ...While MPCPy provides an integration platform, it relies on free, open-source, third-party software packages for model implementation, simulators, parameter estimation algorithms, and optimization solvers. This includes Python packages for scripting and data manipulation as well as other more comprehensive software packages for specific purposes. In particular, modeling and optimization for physical systems currently rely on the Modelica language specification.
    Starting Price: Free
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  • 6
    Modelscape

    Modelscape

    MathWorks

    The Modelscape solution enables financial institutions to reduce the complexity of managing the lifecycle of financial models while improving model documentation, transparency, and compliance. By implementing the solution throughout the model lifecycle, you can use templated model workflows, automated documentation, and artifact linking. Scale algorithms, models, and apps both horizontally and vertically. Provide support for enterprise infrastructure, tooling, and languages such as Python, R, SAS, and MATLAB. Track issues across the model lifecycle with full model lineage, issue, and usage reporting. ...
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  • 7
    Python

    Python

    Python

    The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! ...
    2 Ratings
    Starting Price: Free
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  • 8
    MLlib

    MLlib

    Apache Software Foundation

    ​Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. ...
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  • 9
    TF-Agents

    TF-Agents

    Tensorflow

    ...TF-Agents supports both Python and TensorFlow environments, allowing for flexibility in development and deployment. It is compatible with TensorFlow 2.x and provides tutorials and guides to help users get started with training agents on standard environments like CartPole.
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  • 10
    Catalyst

    Catalyst

    Catalyst

    Catalyst is an algorithmic trading library for crypto-assets written in Python. It allows trading strategies to be easily expressed and backtested against historical data (with daily and minute resolution), providing analytics and insights regarding a particular strategy’s performance. Catalyst also supports live-trading of crypto-assets starting with four exchanges (Binance, Bitfinex, Bittrex, and Poloniex) with more being added over time.
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  • 11
    zope.interface

    zope.interface

    Python Software Foundation

    This package is intended to be independently reusable in any Python project. It is maintained by the Zope Toolkit project. This package provides an implementation of “object interfaces” for Python. Interfaces are a mechanism for labeling objects as conforming to a given API or contract. So, this package can be considered as an implementation of the Design By Contract methodology support in Python.
    Starting Price: Free
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  • 12
    IronPython

    IronPython

    IronPython

    IronPython is an open-source implementation of the Python programming language which is tightly integrated with .NET. IronPython can use .NET and Python libraries, and other .NET languages can use Python code just as easily. Experience a more interactive .NET and Python development experience with Python Tools for Visual Studio. IronPython is an excellent addition to .NET, providing Python developers with the power of the .NET. ...
    Starting Price: Free
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  • 13
    Quandela

    Quandela

    Quandela

    Quandela Cloud offers a wide range of functionalities. First, intensive documentation is available to walk you through Perceval, our photonic quantum computing framework. Perceval's programming language is Python, thus coding on Quandela’s QPUs is seamless. Moreover, you can leverage a wide range of unique algorithms already implemented (resolving PDEs, clustering data, generating certified random numbers, solving logistical problems, computing properties of molecules, and much more). Then, the status and specifications of Quandela’s QPUs are displayed. ...
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  • 14
    Gensim

    Gensim

    Radim Řehůřek

    ...Gensim is optimized for performance with highly efficient implementations in Python and Cython, allowing it to process arbitrarily large corpora using data streaming and incremental algorithms without loading the entire dataset into RAM. It is platform-independent, running on Linux, Windows, and macOS, and is licensed under the GNU LGPL, promoting both personal and commercial use. The library is widely adopted, with thousands of companies utilizing it daily, over 2,600 academic citations, and more than 1 million downloads per week.
    Starting Price: Free
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  • 15
    dupeGuru

    dupeGuru

    dupeGuru

    dupeGuru is a cross-platform (Linux, OS X, Windows) GUI tool to find duplicate files in a system. It’s written mostly in Python 3 and has the peculiarity of using multiple GUI toolkits, all using the same core Python code. On OS X, the UI layer is written in Objective-C and uses Cocoa. On Linux & Windows, it’s written in Python and uses Qt5. dupeGuru is a tool to find duplicate files on your computer. It can scan either filenames or contents. The filename scan features a fuzzy matching algorithm that can find duplicate filenames even when they are not exactly the same. dupeGuru runs on Mac OS X and Linux. ...
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  • 16
    websockets

    websockets

    Python Software Foundation

    An implementation of the WebSocket Protocol (RFC 6455 & 7692). websockets is a library for building WebSocket servers and clients in Python with a focus on correctness, simplicity, robustness, and performance. Built on top of asyncio, Python’s standard asynchronous I/O framework, it provides an elegant coroutine-based API. websockets is heavily tested for compliance with RFC 6455.
    Starting Price: Free
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  • 17
    Zorro

    Zorro

    oP group Germany GmbH

    Zorro is a free institutional-grade software tool specialized on financial research and algorithmic trading. It's compact, easy to learn, and magnitudes faster than R or Python. It can do anything that automated trading platforms do - only better. Zorro offers extreme flexibility and features otherwise not found in consumer trading software. Any trading system, research project, or analysis tool can be realized with a small script in simplified C or C++ (see script examples). ...
    Starting Price: Free
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  • 18
    Blueshift

    Blueshift

    Blueshift

    ...Code and use existing trading templates in python. Backtest over 10 years+ data for equities (india & the us markets) and forex. Automate trades in live markets. Our cloud-based back-testing engine gives you considerable advantages in quick research than a desktop application. No more worries to set up, manage and ingest data. Develop your investment strategy in python programming environment.
    Starting Price: 0
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  • 19
    scikit-image

    scikit-image

    scikit-image

    scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image provides a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome!
    1 Rating
    Starting Price: Free
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  • 20
    Gurobi Optimizer

    Gurobi Optimizer

    Gurobi Optimization

    ...Our Python API includes higher-level modeling constructs that make it easier to build optimization models. Choose from Anaconda Python distributions with pre-built libraries to support application development, Spyder for graphical development, and Jupyter for notebook-style development.
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  • 21
    Mitsuba

    Mitsuba

    Mitsuba

    ...It can be compiled into many variants which include color handling (RGB, spectral, monochrome), vectorization (scalar, SIMD, CUDA) and differentiable rendering. Mitsuba 2 consists of a small set of core libraries and a wide variety of plugins that implement functionality ranging from materials and light sources to complete rendering algorithms. It strives to retain scene compatibility with its predecessor Mitsuba 0.6. The renderer includes a large automated test suite written in Python, and its development relies on several continuous integration servers that compile and test new commits on different operating systems using various compilation settings (e.g. debug/release builds, single/double precision, etc).
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  • 22
    MindMeld

    MindMeld

    Cisco DevNet

    ...Powerful command-line utilities and Python APIs with the flexibility to accommodate nearly any product requirements. Access to state-of-the-art machine learning algorithms and streamlined management of large sets of custom training data. Enhanced entity recognition and resolution to deal with automatic speech recognition (ASR) errors.
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  • 23
    CoppeliaSim

    CoppeliaSim

    Coppelia Robotics

    CoppeliaSim, developed by Coppelia Robotics, is a versatile and powerful robot simulation platform utilized for rapid algorithm development, factory automation simulations, fast prototyping and verification, robotics education, remote monitoring, safety double-checking, and digital twin creation. It features a distributed control architecture, allowing each object or model to be individually controlled via embedded scripts (Python or Lua), plugins (C/C++), remote API clients (Python, Lua, Java, MATLAB, Octave, C, C++, Rust), or custom solutions. ...
    Starting Price: $2,380 per year
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  • 24
    Chainer

    Chainer

    Chainer

    ...Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures. Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. It makes code intuitive and easy to debug. Comes with ChainerRLA, a library that implements various state-of-the-art deep reinforcement algorithms. Also, with ChainerCVA, a collection of tools to train and run neural networks for computer vision tasks. Chainer supports CUDA computation. ...
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  • 25
    yarl

    yarl

    Python Software Foundation

    ...If you want to install yarl on another operating system (like Alpine Linux, which is not manylinux-compliant because of the missing glibc and therefore, cannot be used with our wheels) the tarball will be used to compile the library from the source code. It requires a C compiler and Python headers installed. Please note that the pure-Python (uncompiled) version is much slower. However, PyPy always uses a pure-Python implementation, and, as such, it is unaffected by this variable.
    Starting Price: Free
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  • 26
    gevent

    gevent

    gevent

    gevent is a coroutine-based Python networking library that uses greenlet to provide a high-level synchronous API on top of the libev or libuv event loop. gevent is inspired by eventlet but features a more consistent API, simpler implementation and better performance. Read why others use gevent and check out the list of the open source projects based on gevent.
    Starting Price: Free
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  • 27
    Qdrant

    Qdrant

    Qdrant

    ...With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. Alternatively utilise ready-made client for Python or other programming languages with additional functionality. Implement a unique custom modification of the HNSW algorithm for Approximate Nearest Neighbor Search. Search with a State-of-the-Art speed and apply search filters without compromising on results. Support additional payload associated with vectors. Not only stores payload but also allows filter results based on payload values.
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  • 28
    TextBlob

    TextBlob

    TextBlob

    ...TextBlob is compatible with Python versions 2.7 and above, and 3.5 and above. It is actively developed on GitHub and is licensed under the MIT License. Comprehensive documentation, including a quick start guide and tutorials, is available to assist users in implementing various NLP tasks.
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  • 29
    MeVisLab

    MeVisLab

    MeVisLab

    MeVisLab is a powerful modular framework for image processing research and development, with a special focus on medical imaging. It allows fast integration and testing of new algorithms and the development of clinical application prototypes. The platform supports advanced software modules for segmentation, registration, volumetry, and functional analysis. Developers can utilize module programming, scripting, and network development within MeVisLab. The combination of visual programming, Python scripting, and C++ programming makes MeVisLab a powerful tool for developers.
    Starting Price: Free
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  • 30
    Tomviz

    Tomviz

    Kitware

    ...Users can work with multiple datasets simultaneously, applying various colormaps and visualization settings to rotate, slice, animate, and save visualizations as images or video files. The platform supports advanced data analysis through histograms, multicorrelative statistics, multiple filters, and user-customized Python scripts. Additionally, Tomviz enables tomographic reconstructions of experimental data, offering a comprehensive suite of Python tools for 3D analysis to accommodate custom algorithms. It is compatible with 64-bit Windows, macOS, and Linux operating systems.
    Starting Price: Free
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