Search Results for "spreadsheet machine learning" - Page 3

Showing 80 open source projects for "spreadsheet machine learning"

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  • 1
    Semantic Segmentation Editor

    Semantic Segmentation Editor

    Web labeling tool for bitmap images and point clouds

    A web-based labeling tool for creating AI training data sets (2D and 3D). The tool has been developed in the context of autonomous driving research. It supports images (.jpg or .png) and point clouds (.pcd). It is a Meteor app developed with React, Paper.js, and three.js.
    Downloads: 0 This Week
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  • 2
    CYBR-SUITE

    CYBR-SUITE

    Remote Scrum Communication & Collaboration Suite :: Scrum Board & co

    ...Personality assessments, ...these mandatory ways to add more context & breaking-down complexity enable a better overview and a better understanding - for man and machine... ...based on the standardized structure of the DATA WE ARE NOW CREATING AND STORING, these values can now be used directly for the inputs and targets of our artificial neuronal networks and generate our competitive advantage based on SUPERIOR MACHINE LEARNING capabilities. The CYSU is a docker-compose solution: 1. prepare your Linux system with docker & docker-compose, modify the init-script & set YOUR SSL-values, chmod +x 2. docker-compose up --build Follow the detailed step-by-step documentation. >>> PS: YOU NEED A LINUX SERVER FOR INSTALL IT ! ...
    Downloads: 0 This Week
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  • 3
    SQLFlow

    SQLFlow

    SQL compiler bridging databases and machine learning workflows

    SQLFlow is an open source project designed to bridge the gap between traditional SQL-based data processing and modern machine learning workflows by extending SQL syntax with AI capabilities. It acts as a compiler that translates SQL programs into executable workflows, enabling users to train, evaluate, and deploy machine learning models directly from SQL statements. It integrates with multiple database engines such as MySQL, Hive, and MaxCompute, while also supporting machine learning frameworks like TensorFlow and XGBoost. ...
    Downloads: 4 This Week
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  • 4
    CNN Explainer

    CNN Explainer

    Learning Convolutional Neural Networks with Interactive Visualization

    In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data.
    Downloads: 1 This Week
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  • 5
    cintruder

    cintruder

    CIntruder - OCR Bruteforcing Toolkit

    Captcha Intruder is an automatic pentesting tool to bypass captchas. -> CIntruder-v0.4 (.zip) -> md5 = 6326ab514e329e4ccd5e1533d5d53967 -> CIntruder-v0.4 (.tar.gz) ->md5 = 2256fccac505064f3b84ee2c43921a68 --------------------------------------------
    Downloads: 0 This Week
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  • 6
    fastText

    fastText

    Library for fast text classification and representation

    ...Such categories can be review scores, spam v.s. non-spam, or the language in which the document was typed. Nowadays, the dominant approach to build such classifiers is machine learning, that is learning classification rules from examples. In order to build such classifiers, we need labeled data, which consists of documents and their corresponding categories (or tags, or labels).
    Downloads: 0 This Week
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  • 7
    CrypTen

    CrypTen

    A framework for Privacy Preserving Machine Learning

    CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic differentiation and neural network operations. ...
    Downloads: 0 This Week
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  • 8
    Manifold ML

    Manifold ML

    A model-agnostic visual debugging tool for machine learning

    Manifold is a model-agnostic visual debugging tool for machine learning. Understanding ML model performance and behavior is a non-trivial process, given the intrisic opacity of ML algorithms. Performance summary statistics such as AUC, RMSE, and others are not instructive enough to identify what went wrong with a model or how to improve it. As a visual analytics tool, Manifold allows ML practitioners to look beyond overall summary metrics to detect which subset of data a model is inaccurately predicting. ...
    Downloads: 0 This Week
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  • 9
    NativeScript Documentation

    NativeScript Documentation

    Documentation, API reference, and code snippets for NativeScript

    ...Building Web, iOS, Android, and Vision Pro apps with a shared codebase (aka, cross-platform apps) Building native platform apps with portable JavaScript skills. Augmenting JavaScript projects with platform API capabilities. AndroidTV and Watch development watchOS development. Learning native platforms through JavaScript understanding. Exploring platform API documentation by trying APIs directly from a web browser without requiring a platform development machine setup.
    Downloads: 0 This Week
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  • 10
    Machine Learning Yearning

    Machine Learning Yearning

    Machine Learning Yearning

    Artificial intelligence, machine learning and deep learning are transforming numerous industries. Professor Andrew Ng is currently writing a book on how to build machine learning projects. The point of this book is not to teach traditional machine learning algorithms, but to teach you how to make machine learning algorithms work. Some technical courses in AI will give you a tool, and this book will teach you how to use those tools. ...
    Downloads: 0 This Week
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  • 11
    TenorSpace.js

    TenorSpace.js

    Neural network 3D visualization framework

    TensorSpace is a neural network 3D visualization framework built using TensorFlow.js, Three.js and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser. From TensorSpace, it is intuitive to learn what the model structure is, how the model is trained and how the model predicts the results based on the intermediate information. After preprocessing the model, TensorSpace supports the visualization...
    Downloads: 0 This Week
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  • 12
    DeepTraffic

    DeepTraffic

    DeepTraffic is a deep reinforcement learning competition

    DeepTraffic is a deep reinforcement learning simulation designed to teach and evaluate autonomous driving algorithms in a dense highway environment. The system presents a simulated multi-lane highway where an AI-controlled vehicle must navigate traffic while maximizing speed and avoiding collisions. Participants design neural network policies that determine the vehicle’s actions, such as accelerating, decelerating, changing lanes, or maintaining speed. The project was created as part of an...
    Downloads: 0 This Week
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  • 13
    NN-SVG

    NN-SVG

    Publication-ready NN-architecture schematics

    Illustrations of Neural Network architectures are often time-consuming to produce, and machine learning researchers all too often find themselves constructing these diagrams from scratch by hand. NN-SVG is a tool for creating Neural Network (NN) architecture drawings parametrically rather than manually. It also provides the ability to export those drawings to Scalable Vector Graphics (SVG) files, suitable for inclusion in academic papers or web pages.
    Downloads: 1 This Week
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  • 14

    Arabic Corpus

    Text categorization, arabic language processing, language modeling

    The Arabic Corpus {compiled by Dr. Mourad Abbas ( http://sites.google.com/site/mouradabbas9/corpora ) The corpus Khaleej-2004 contains 5690 documents. It is divided to 4 topics (categories). The corpus Watan-2004 contains 20291 documents organized in 6 topics (categories). Researchers who use these two corpora would mention the two main references: (1) For Watan-2004 corpus ---------------------- M. Abbas, K. Smaili, D. Berkani, (2011) Evaluation of Topic Identification Methods on...
    Downloads: 6 This Week
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  • 15
    AI-Blocks

    AI-Blocks

    A powerful and intuitive WYSIWYG to create Machine Learning models

    A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models! The concept of AI-Blocs is to have a simple scene with draggable objects that have scripts attached to them. The model can be run directly on the editor or be exported to a standalone script that runs on Tensorflow. Variables are parsed from python scripts and can be edited from the AI-Blocs properties panel. To run your model simply press the "Play" button and let the magic happen! ...
    Downloads: 0 This Week
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  • 16
    Machine-Learning-Flappy-Bird

    Machine-Learning-Flappy-Bird

    Machine Learning for Flappy Bird using Neural Network

    Machine-Learning-Flappy-Bird is an educational machine learning project that demonstrates how an artificial intelligence agent can learn to play the Flappy Bird game using neural networks and evolutionary algorithms. The system simulates a population of birds that each possess their own neural network, which acts as a decision-making controller during gameplay.
    Downloads: 0 This Week
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  • 17
    Keras.js

    Keras.js

    Run Keras models in the browser, with GPU support using WebGL

    Run Keras models in the browser, with GPU support provided by WebGL 2. Models can be run in Node.js as well, but only in CPU mode. Because Keras abstracts away a number of frameworks as backends, the models can be trained in any backend, including TensorFlow, CNTK, etc. Check out the demos/ directory for real examples running Keras.js in VueJS. Library version compatibility, Keras 2.1.2.
    Downloads: 0 This Week
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  • 18
    Rodeo

    Rodeo

    A data science IDE for Python

    ...Rodeo makes it very easy for its users to explore what is created by them and also alongside allows the users to Inspect, interact, compare data frames, plots and even much more. It is an IDE that has been built especially for data science/Machine Learning in Python and you can also very simply think of it as a light weight alternative to the IPython Notebook.
    Downloads: 2 This Week
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  • 19
    Data Science Specialization

    Data Science Specialization

    Course materials for the Data Science Specialization on Coursera

    ...The repository is designed as a shared space for code examples, datasets, and instructional materials, helping learners follow along with lectures and assignments. It spans essential topics such as R programming, data cleaning, exploratory data analysis, statistical inference, regression models, machine learning, and practical data science projects. By providing centralized resources, the repo makes it easier for students to practice concepts and replicate examples from the curriculum. It also offers a structured view of how multiple disciplines—programming, statistics, and applied data analysis—come together in a professional workflow.
    Downloads: 1 This Week
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  • 20
    AlgoWiki

    AlgoWiki

    Repository which contains links and resources on different topics

    ...The project functions as a structured knowledge index that links to tutorials, articles, courses, and research materials across numerous technical domains. Topics include algorithms, machine learning, artificial intelligence, programming languages, web development, and software engineering practices. The repository is organized into directories by subject so that users can easily locate relevant learning materials within a specific discipline. Because it collects external resources rather than implementing software itself, the project acts as a reference library for students and developers who want to explore reliable educational content in computer science. ...
    Downloads: 0 This Week
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  • 21
    RuleRule

    RuleRule

    A puzzle game of rules acting upon rules. Create the desired pattern.

    RuleRule is a game which might be of interest to students and researchers of AI, machine learning and related areas. In this game, rules act and modify other rules (including themselves). The goal is to reach a desired condition (e.g. a checkerboard of red and yellow). Versions For a first test of the game mechanics in your browser, download the Javascript version, coded by Jan-Hendrik Vienup (December 2014, GPL) tested with Firefox, MSIE, Chrome, and Safari : RuleRule3.zip First created with NeXT Interface Builder and Objective-C files (1995, Mach OS): rulerule.gz (Creative Commons Attribution License). ...
    Downloads: 1 This Week
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  • 22
    ConvNetJS

    ConvNetJS

    Deep learning in Javascript to train convolutional neural networks

    ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and...
    Downloads: 0 This Week
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  • 23
    SCORM (1.3) E-learning Development Tool

    SCORM (1.3) E-learning Development Tool

    All you need to develop your e-learning courses!

    This is a preconfigured VirtualBox Virtual Machine containing all you need to develop SCORM packages (1.3) for your e-learning courses. Using a Java Wizard, it is possible to add your content to a preconfigured e-learning course and export it in SCORM 1.3 format. Moodle 2.7 LMS is included to test your SCORM packages. The preconfigured e-learning course uses HTML5 tags to allow learners to enjoy the course using mobile devices (smartphones, tablets).
    Downloads: 0 This Week
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  • 24
    Flamingo Project

    Flamingo Project

    Workflow Designer, Hive Editor, Pig Editor, File System Browser

    Flamingo is a open-source Big Data Platform that combine a Ajax Rich Web Interface + Workflow Engine + Workflow Designer + MapReduce + Hive Editor + Pig Editor. 1. Easy Tool for big data 2. Use comfortable in Hadoop EcoSystem projects 3. Based GPL V3 License Supporting Pig IDE, Hive IDE, HDFS Browser, Scheduler, Hadoop Job Monitoring, Workflow Engine, Workflow Designer, MapReduce.
    Downloads: 0 This Week
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  • 25
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