Showing 1048 open source projects for "solve"

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  • SKUDONET Open Source Load Balancer Icon
    SKUDONET Open Source Load Balancer

    Take advantage of Open Source Load Balancer to elevate your business security and IT infrastructure with a custom ADC Solution.

    SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
  • Case Management Software for Social Services Icon
    Case Management Software for Social Services

    For human services organizations looking for case management software

    Collaborate is customizable case management software for non-profits and social services agencies with teams of 5+ staff.
  • 1
    NativeScript Firebase plugin

    NativeScript Firebase plugin

    NativeScript plugin for Firebase

    Firebase is an app development platform that helps you build and grow apps and games users love. Backed by Google and trusted by millions of businesses around the world. Install pre-packaged, open-source bundles of code to automate common development tasks. Firebase projects are backed by Google Cloud, letting you scale your app to billions of users. Use Firebase products together to solve complex challenges and optimize your app experience. Personalize your onboarding flow, grow user...
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  • 2
    Kalman and Bayesian Filters in Python

    Kalman and Bayesian Filters in Python

    Kalman Filter book using Jupyter Notebook

    Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions. Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your browser. What better way to learn? This book teaches you how to solve...
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  • 3

    DataScienceServer

    Develop locally, run remotely

    An attempt to solve the problem of developing some code on a local machine on a small dataset, then pushing it to a remote server *and having it work*
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  • 4
    todo.txt-cli

    todo.txt-cli

    A simple and extensible shell script for managing your todo.txt file

    If you have a file called todo.txt on your computer right now, you're in the right place. So many power users try dozens of complicated todo list software applications, only to go right back to their trusty todo.txt file. But it's not easy to open todo.txt, make a change, and save it, especially on your touchscreen device and at the command line. Todo.txt apps solve that problem. Simplicity is todo.txt's core value. You're not going to find many checkboxes, drop-downs, reminders, or date...
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  • Recruit and Manage your Workforce Icon
    Recruit and Manage your Workforce

    Evolia makes it easier to hire, schedule and track time worked by frontline in medium and large-sized businesses.

    Evolia is a web and mobile platform that connects enterprises with 1000’s of local shift workers and offers free workforce scheduling and time and attendance solutions. Is your business on Evolia?
  • 5
    GluonNLP

    GluonNLP

    NLP made easy

    GluonNLP is a toolkit that helps you solve NLP problems. It provides easy-to-use tools that helps you load the text data, process the text data, and train models. To facilitate both the engineers and researchers, we provide command-line-toolkits for downloading and processing the NLP datasets. Gluon NLP makes it easy to evaluate and train word embeddings. Here are examples to evaluate the pre-trained embeddings included in the Gluon NLP toolkit as well as example scripts for training embeddings...
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  • 6
    Vexed for Windows

    Vexed for Windows

    Classic PalmPilot Vexed Puzzle newly coded for Windows

    Vexed is a well known puzzle game challenging your ability to plan and think ahead to complete the puzzles made famous on the PalmPilot. Start off easy and work your way to the harder puzzle packs like the 'impossible', 'confusion', or 'panic' packs. Run Classic Vexed in Windows! Same level packs, new 'cleanroom' code for Windows implements all play features, plus more, of the original. Click sample images below to see the full window Install files are under the Files tab, and all...
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  • 7
    Computer Vision Pretrained Models

    Computer Vision Pretrained Models

    A collection of computer vision pre-trained models

    A pre-trained model is a model created by someone else to solve a similar problem. Instead of building a model from scratch to solve a similar problem, we can use the model trained on other problem as a starting point. A pre-trained model may not be 100% accurate in your application. For example, if you want to build a self-learning car. You can spend years building a decent image recognition algorithm from scratch or you can take the inception model (a pre-trained model) from Google which...
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  • 8
    Euler

    Euler

    A distributed graph deep learning framework.

    ... for processing by existing deep learning models. Graph is a data type in non-Euclidean space and cannot be directly applied to existing methods, requiring a specially designed graph neural network system. Graph-based learning methods such as graph neural networks combine end-to-end learning with inductive reasoning, and are expected to solve a series of problems such as relational reasoning and interpretability that deep learning cannot handle.
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  • 9
    StellarGraph

    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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  • Cloud data warehouse to power your data-driven innovation Icon
    Cloud data warehouse to power your data-driven innovation

    BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
  • 10
    Asimov

    Asimov

    Automatically exclude development dependencies from Apple Time backups

    Automatically exclude development dependencies from Apple Time Machine backups. For macOS users, Time Machine is a no-frills, set-it-and-forget-it solution for on-site backups. Plug in an external hard drive (or configure a network storage drive), and your Mac's files are backed up. For the average consumer, Time Machine is an excellent choice, especially considering many Mac owners may only have Time Machine as a backup strategy. Asimov aims to solve problems, scanning your filesystem...
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  • 11
    Reliable Metrics for Generative Models

    Reliable Metrics for Generative Models

    Code base for the precision, recall, density, and coverage metrics

    ... properties separately. In this paper, we show that even the latest version of the precision and recall (Kynkäänniemi et al., 2019) metrics are not reliable yet. For example, they fail to detect the match between two identical distributions, they are not robust against outliers, and the evaluation hyperparameters are selected arbitrarily. We propose density and coverage metrics that solve the above issues.
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  • 12
    Object-oriented crystallographic library and program, for the analysis of Crystal structures from scattering experiments: optimized scattering computation, Graphical interface for structures and data, global optimization algorithms.
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    Downloads: 65 This Week
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  • 13
    xorm

    xorm

    xorm is a simple and powerful Go language ORM library

    ... not have any third-party library dependencies), the original version of xorm must maintain The third-party library has zero dependencies, so I had to open this Github library separately. The relevant customization functions of this library are developed to solve simpler complex SQL calls and some special business requirements scenarios. The core functions of this customized version of ORM are consistent with the original version, and will be updated with the original version of xorm.
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  • 14
    Save The World

    Save The World

    Save The World (Hangman Alternative with Optional Custom Phrases)

    Earthling... You have been chosen to save the world from the alien forces that are trying to destroy our planet! To save our planet from the attacks, you must use your superior intellect to solve the word puzzles to fight off the alien invaders! If you guess correctly, the blank will be replaced with the letter. If you guess incorrectly, the alien invaders will be one step close to our planet! You are allowed five mistakes before the alien invaders destroy our world. If you use the HINT...
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  • 15

    swwr-harmonize

    Data harmonization using sliding windows and weighted regression

    Sliding windows and weighted regression, or SWWR, are used to solve a common type of data harmonization problem in longitudinal studies: data from different sources (e.g., different studies or different time points within the same study) share the same x-axis but have different y-axes, and the goal is to equate y-axis distributions at each point on the x-axis.
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  • 16
    Implicit Graph Search Library
    Java generic API for search algorithms on graphs implicitly given by tree node expansion operator
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  • 17

    MatrixC++

    MatrixC++ is a lightweight matrix library developed in C++

    MatrixC++ is a lightweight matrix library developed in C++. MatrixC++ is designed to help solve engineering and math problems requiring vectors and matrices. MatrixC++ is OS independent and is as portable as we can make it. MatrixC++ supports overloaded operators, links with Lapack, and includes functions to facilitate porting from Octave type matrix scripting languages to C++.
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  • 18

    eMatrix

    A C++ Matrix Library

    eMatrix is a lightweight matrix library developed in C++. EMatrix is designed to help solve engineering problems requiring linear algebra. eMatrix is OS independent and is fairly portable. New features include inv(A) and det(A).
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  • 19
    LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...
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  • 20
    Gradle Kotlin DSL converter

    Gradle Kotlin DSL converter

    Convert from Groovy to Kotlin DSL for Gradle, focused on Android

    Welcome! After a lot of pain trying to migrate from Gradle's Groovy to Kotlin DSL on Android Studio, I developed this tool to solve most migration issues and reduce the amount of work you need in order to make things ready. Please see this tool as a helper, a first resource like Android Studio's Java converter to Kotlin: it won't make a perfect conversion, but it helps a lot in reducing the time you would spend on repetitive tasks. Sometimes you just want to copy and paste. Just copy whatever...
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  • 21
    Flint

    Flint

    A simulator for biological and physiological models

    Flint is a simulator for biological and physiological models written in CellML, PHML and/or SBML.
    Downloads: 1 This Week
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  • 22
    Spinning Up in Deep RL

    Spinning Up in Deep RL

    Educational resource to help anyone learn deep reinforcement learning

    Welcome to Spinning Up in Deep RL! This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL). For the unfamiliar, reinforcement learning (RL) is a machine learning approach for teaching agents how to solve tasks by trial and error. Deep RL refers to the combination of RL with deep learning. At OpenAI, we believe that deep learning generally, and deep reinforcement learning specifically, will play central roles in the development...
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  • 23
    Systems-of-Equations-Solver

    Systems-of-Equations-Solver

    For solving systems of equations ranging from two unknown variables to

    For solving systems of equations with two or more unknown variables , using gaussian and gauss-jordan elimination to solve the problems in its matrix simplifications
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  • 24
    RecNN

    RecNN

    Reinforced Recommendation toolkit built around pytorch 1.7

    This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like.
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  • 25
    Jack LIRE (Linked Record)

    Jack LIRE (Linked Record)

    Quantum universal object system with referencing and genetics

    Jack LIRE (Linked Record) is a quantum database-backed life-long text record diary with referencing (linking) between records, and a data library for life-long keeping of files such as documents, photographs, music and more. The diary records are fully searchable. Files can be mentioned in diary records to preserve memories, document knowledge and ideas, and more. Massive numbers of diary records and files can be permanently kept. A database located on one computer can be accessed from...
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