Search Results for "algorithms" - Page 9
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Showing 1631 open source projects for "algorithms"
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Atomix
A Kubernetes toolkit for building distributed applications
Atomix is a cloud-native runtime for building stateful, scalable, configurable, and reliable distributed applications in Kubernetes. The Atomix API provides a set of high-level building blocks (referred to as distributed primitives) for building distributed systems. The architecture of Atomix incorporates the lessons learned from experience over the past decade of building high-availability cloud infrastructure. The primary focus of the project is to decouple applications from specific data... -
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AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero
Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++)... -
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GeneticSharp
GeneticSharp is a fast, extensible, multi-platform and multithreading
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs). Can be used in any kind of .NET 6, .NET Standard and .NET Framework apps, like ASP .NET MVC, ASP .NET Core, Blazor, Web Forms, UWP, Windows Forms, GTK#, Xamarin, MAUI and Unity3D games. GeneticSharp and extensions (TSP, AutoConfig, Bitmap equality, Equality equation, Equation solver, Function builder, etc). A Blazor client application template with GeneticSharp ready to run a Travelling Salesman Problem (TSP). ... -
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ImageAI
A python library built to empower developers
ImageAI is an easy-to-use Computer Vision Python library that empowers developers to easily integrate state-of-the-art Artificial Intelligence features into their new and existing applications and systems. It is used by thousands of developers, students, researchers, tutors and experts in corporate organizations around the world. You will find features supported, links to official documentation as well as articles on ImageAI. ImageAI is widely used around the world by professionals,... -
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Swiss Army Knife C++ Toolkit is a set of versatile tools for C++ development. It offers to a developer variety of everyday needed tools for programming. Among these tools are configuration files reader, Tokeniser, Singleton template and many more.
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cppcrypto
C++ cryptographic library (modern hash functions, ciphers, KDFs)
...Key derivation functions: PBKDF2, scrypt, Argon2, HKDF. Includes sample command-line tools: - 'digest' - for calculating and verifying file checksum(s) using any of the supported hash algorithms (similar to md5sum or RHash). - 'cryptor' - for file encryption using Serpent-256 algorithm in AEAD mode. Check out the cppcrypto web site linked below for programming documentation. -
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Build & Lexigraphical Permutations
Documentation of two types of permutation algorithms
...The challenge is to create an efficient algorithm that can have the capacity to permutate sources texts that are hundreds and thousands of characters long without running out of memory. This project has 4 download files (1 pdf that documents the algorithms, and 3 Excel files, each for a different algorithm) The downloadable Excel files are the programming files because I code in VBA. You will need to enable macros to run the algorithms. You can view the VBA code of each algorithm from the developer module house inside Microsoft Excel. The lexigraphical algorithm is faster because it supports multi-threading. -
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Yocto/GL
Yocto/GL: Tiny C++ Libraries for Data-Driven Physically-based Graphics
Yocto/GL is a collection of small C++17 libraries for building physically-based graphics algorithms released under the MIT license. Yocto/GL is written in a deliberately data-oriented style for ease of development and use. Yocto/GL is split into small libraries to make code navigation easier. See each header file for documentation. Simple shape data structure, utilities for manipulating triangle meshes, quads meshes and line sets, computation of normals and tangents, linear and Catmull-Clark subdivision, procedural shapes generation, ray intersection and closest point queries. ... -
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Combinations Algorithm
Documentation and coding for the generation of combinations
This project comprises documentation and VBA programming code in respect of a combinations algorithm that I have written. The algorithm is in the Excel file named Combinations.xlsm and the documentation that explains how to use interface and execution of the algorithm is in the pdf file called Combinations.pdf You will need to enable macros in Excel in order to run the algorithm. -
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Gym
Toolkit for developing and comparing reinforcement learning algorithms
...It makes no assumptions about the structure of your agent, and is compatible with any numerical computation library, such as TensorFlow or Theano. The gym library is a collection of test problems — environments — that you can use to work out your reinforcement learning algorithms. These environments have a shared interface, allowing you to write general algorithms. -
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ZHSoftware
ZHSoftware
ZH软件&源码库 -
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GFPGAN
GFPGAN aims at developing Practical Algorithms
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration. Colab Demo for GFPGAN; (Another Colab Demo for the original paper model) Online demo: Huggingface (return only the cropped face) Online demo: Replicate.ai (may need to sign in, return the whole image). Online demo: Baseten.co (backed by GPU, returns the whole image). We provide a clean version of GFPGAN, which can run without CUDA extensions. -
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Weight Vectors
Generate Weight Vectors for multi-objective optimization algorithms
A handy tool with graphical interface that generate weight vectors for multi-objective optimization algorithms. source: https://github.com/ahmed-fathy/weight-vectors -
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Sudoku Maker is a generator for Sudoku number puzzles. It uses a genetic algorithm internally, so it can serve as an introduction to genetic algorithms. The generated Sudokus are usually very hard to solve -- good for getting rid of a Sudoku addiction.
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DuranDuranbot
Teachable/trainable artificially intelligent music bot
A teachable/trainable artificially intelligent music bot fundamentally inspired by how the new wave band Duran Duran composes music. This program utilizes many algorithmic/AI techniques/processes, including machine learning; which allow you to teach/train it to compose music which you prefer... and the technique which is the foundation of the design of DuranDuranbot, which was directly inspired by how Duran Duran writes music........ Called, "bit by bit circular composition"....... and it's... -
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Amazon SageMaker Operators Kubernetes
Amazon SageMaker operator for Kubernetes
...It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don't have to manage servers. It also provides common machine learning algorithms that are optimized to run efficiently against extremely large data in a distributed environment. With native support for bring-your-own-algorithms and frameworks, SageMaker offers flexible distributed training options that adjust to your specific workflows. Deploy a model into a secure and scalable environment by launching it with a few clicks from SageMaker Studio or the SageMaker console. ... -
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PyTorch Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, etc.
...It is based on pure PyTorch with high performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms or readily apply existing algorithms. We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please first open an issue and discuss the feature with us. -
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FileVerifier++ is a Windows utility for calculating hashes using a number of algorithms including CRC32, MD5, SHA-1, SHA-256/224/384/512, WHIRLPOOL, and RIPEMD-128/160/256/320. Supported hash file formats include MD5SUM .MD5, SFV, BSD CKSUM, and others.
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Clipper
Polygon and line clipping and offsetting library (C++, C#, Delphi)
This library is now obsolete and no longer being maintained. It has been superceded by my Clipper2 library - https://github.com/AngusJohnson/Clipper2. -
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Guide to Technical Interviews
Guided collection and roadmap for preparing technical interviews
This repository is a guided collection and roadmap for preparing technical interviews, covering the gamut from algorithmic challenges and data structures to system design and behavioral preparation. It consolidates resources like interview question lists, practice platforms, mock interview sites, and recommended books or blogs. For individuals targeting big-tech or rigorous interview processes, this acts as a structured study guide rather than a random list of links. The README breaks down... -
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Alcinoe
compoments suite for Delphi
Project description and support moved to : https://github.com/Zeus64/alcinoe However you can use the source you prefer, the SVN here or the GIT on github, both are synchronized (just that GIT don't support large file > 100 mo so some minor files used only as references are missing from GIT) -
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DifferenceKit
A fast and flexible O(n) difference algorithm framework
A fast and flexible O(n) difference algorithm framework for Swift collection. The algorithm is optimized based on the Paul Heckel’s algorithm. This is a diffing algorithm developed for Carbon, works stand alone. The algorithm optimized based on the Paul Heckel’s algorithm. See also his paper A technique for isolating differences between files released in 1978. It allows all kind of diffs to be calculated in linear time O(n). RxDataSources and IGListKit are also implemented based on his... -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the... -
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Spire
Powerful new number types and numeric abstractions for Scala
Spire is a numeric and algebraic library for Scala, offering type-safe, generic, and high-precision arithmetic. It introduces abstractions like Rings, Fields, and Rationals and supports specialized number types (e.g. Rational, Complex, Interval), macros, and seamless integration with Cats for abstract numeric programming. -
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Major looseless compression algorithms library and documentation. First project: Arithmetic, Huffman, LZ77, LZ78, LZW, RLE. Second project reimplements Deflate. Documentation explains major Entropy Compression Methods.
