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Algo Visualizers is a GitHub repository or organization with source code, releases, documentation, or project resources.
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algonds is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Algorithms-Cheatsheet-Resources is a GitHub repository or organization with source code, releases, documentation, or project resources.
This repository provides a hyperparameter optimization implementation for machine learning algorithms, accompanying a paper on hyperparameter optimization theory and practice. It includes sample code for regression and classification problems using the Boston-Housing and MNIST datasets, covering algorithms such as random forest, SVM, KNN and artificial neural networks.
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JavaScript Algorithms is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Desbordante is a high-performance open-source data profiler. It uses a variety of algorithms to discover different patterns in data and supports running data cleaning scenarios using these algorithms. The tool is available as a console version and an easy-to-use web application.
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Faiss is a library for efficient similarity search and clustering of dense vectors, containing algorithms that search sets of vectors of any size. It is written in C++ with complete wrappers for Python/numpy, with some algorithms implemented on the GPU, and is developed primarily at Meta's Fundamental AI Research group.
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FATE (Federated AI Technology Enabler) is an industrial grade federated learning open source framework that enables enterprises and institutions to collaborate on data while protecting data security and privacy. It implements secure computation protocols based on homomorphic encryption and multi-party computation, and provides federated learning algorithms including logistic regression, tree-based algorithms, deep learning and transfer learning.
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Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms. It provides a standard API between learning algorithms and environments, plus reference environments including Classic Control, Box2D, Toy Text, MuJoCo and Atari. It is a fork of OpenAI's Gym library maintained by its maintainers.
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JSMLT is an open source JavaScript library for education in machine learning. It implements supervised learning algorithms, including SVM, random forest, decision tree, perceptron, neural networks, k-nearest neighbors and logistic regression, and provides visualization examples for exploring how the algorithms work.
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MeTA is a modern C++ data sciences toolkit. It provides text tokenization including deep semantic features like parse trees, inverted and forward indexes with compression and caching strategies, ranking functions for searching indexes, topic models, classification algorithms, graph algorithms, language models, a CRF implementation for POS-tagging and shallow parsing, and wrappers for liblinear and libsvm.
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A PyTorch implementation of the DeepDream algorithm hosted on GitHub. The repository provides code for running the DeepDream algorithm using the PyTorch framework, with support for features including specific channel selection and activation strength-based channel selection.
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neural-style-pt is a PyTorch implementation of the neural style transfer algorithm from the paper A Neural Algorithm of Artistic Style. It combines the content of one image with the style of another using convolutional neural networks, and is based on Justin Johnson's Neural-Style. Options include content and style weighting, style scale, multiple style images and retaining original colors.
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pgmpy is a Python toolkit for causal and probabilistic reasoning using graphical models. It implements data structures for models such as DAGs, PDAGs, MAGs, PAGs, Bayesian Networks, Dynamic Bayesian Networks and Structural Equation Models, with algorithms for tasks including causal discovery, causal identification, inference, model validation, parameter estimation and simulations. Algorithms follow a unified composable API and are scikit-learn compatible when possible. It is available on PyPI and conda.
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Scikit-Opt is an open-source Python library that implements a range of optimization algorithms. Its features include genetic algorithms, particle swarm optimization, simulated annealing, ant colony optimization, immune algorithm, artificial fish swarm algorithm, differential evolution, and tools for the traveling salesman problem. The project is hosted on GitHub and accepts community contributions.
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Advisor is an open-source GitHub repository maintained by user tobegit3hub. It provides an open-source implementation of Google Vizier built for hyperparameter tuning tasks. The repository includes documentation for supported algorithms and a quick start guide for users.
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agent-opt is an open-source library hosted on GitHub for automated optimization of AI agent workflows. It includes six implemented optimization algorithms, works with any model and any evaluation metric, and is built to support future AGI development loops.
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AIF360, or AI Fairness 360, is a comprehensive toolkit that provides fairness metrics for datasets and machine learning models. It includes explanations for these metrics and algorithms to mitigate bias in data and models. The project is developed by the Trusted-AI community on GitHub.
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AIToolbox is a toolbox of AI modules written in Swift, covering graphs and trees, support vector machines, neural networks, PCA, K-Means and genetic algorithms. The framework uses the Accelerate library to speed up computations, except the Linux package versions. A Swift Package is available for Mac and Linux, described as a sub-set of the full framework.
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) - An algorithmic Nostr relay that personalizes feeds based on user interactions, follows, and viral content.
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Alibi is an open-source project that provides algorithms for explaining machine learning models. Developed by SeldonIO and hosted on GitHub, it includes installation and usage documentation for pip and conda.
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Alibi Detect is an open-source project that provides algorithms for outlier, adversarial, and drift detection. Developed by SeldonIO and hosted on GitHub, it includes installation and usage documentation for pip and conda.
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AnkiDroid is the official Android port of the open-source Anki spaced repetition flashcard system. It supports spaced repetition learning using the AI-optimized FSRS algorithm, and allows users to create flashcards with text, images, sounds and MathJax content. It offers features including night mode, AnkiWeb syncing, text-to-speech integration, access to over 10,000 premade decks, and the ability to add cards from other applications.