Search Results for "parallel-sudoku-solver" - Page 23
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Showing 2100 open source projects for "parallel-sudoku-solver"
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A fast Rubik's cube solver with a Qt-frontend. This is a port from H. Kociemba's Two-Phase-Algorithm to C++ which can solve cubes with an average of 20 moves. Needs Qt 4 (<=cubesolver-0.1.1) or Qt 5 (>=cubesolver-0.2.1).
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o'scopepy
Oscilloscope using PC sound card and Python 3
Version 6 uses a programming paradigm based on workcells which communicate with each other using text based signals. This creates a parallel programming environment with autonomous virtual machines communicating over a peer to peer network. The workcells are instantiated anonymously, therefore all methods and variables are completely private. Tkinter is used for both GUIs and for creating a second event loop used for synchronizing workcell to workcell communication. -
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Mars Framework
Mars is a tensor-based unified framework for large-scale data
...The project provides a tensor-based execution model that extends the capabilities of tools such as NumPy, pandas, and scikit-learn so that large datasets can be processed in parallel without rewriting code for distributed environments. Its architecture automatically divides large computational tasks into smaller chunks that can be executed across multiple nodes in a cluster, allowing complex analytics, machine learning workflows, and data transformations to run efficiently at scale. Mars is particularly useful for workloads that exceed the memory capacity of a single machine or require high levels of parallel processing. -
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Scrapyd
A service daemon to run Scrapy spiders
...Scrapyd is an application (typically run as a daemon) that listens to requests for spiders to run and spawns a process for each one. Scrapyd also runs multiple processes in parallel, allocating them in a fixed number of slots given by the max_proc and max_proc_per_cpu options, starting as many processes as possible to handle the load. -
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GeneticSharp
GeneticSharp is a fast, extensible, multi-platform and multithreading
...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). A console application template with GeneticSharp, you just need to implement the chromosome and fitness function. A console application template with GeneticSharp ready to run a Travelling Salesman Problem (TSP). -
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Qualisys Unity SDK
Unity package for the C# (.NET) implementation for Qualisys Track
...Get a real-time stream of motion capture data in Unity with minimal latency. This makes it possible to drive characters, rigid bodies or any other Unity object. Qualisys provides a robust skeleton solver that lets you solve one or more actors in real-time. Capturing crouching, wrestling and lying on the floor has never been this straightforward. By combining skeleton solving with AIM, you can capture advanced setups in a simplified workflow. An FBX is the easiest way to read mocap data in external gaming or animation software. Our FBX files contain characters, skeletons, optical markers and actors. -
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FairScale
PyTorch extensions for high performance and large scale training
FairScale is a collection of PyTorch performance and scaling primitives that pioneered many of the ideas now used for large-model training. It introduced Fully Sharded Data Parallel (FSDP) style techniques that shard model parameters, gradients, and optimizer states across ranks to fit bigger models into the same memory budget. The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce boilerplate in complex distributed setups. ... -
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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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TextBox
A text generation library with pre-trained language models github.com
...From a model perspective, we incorporate 47 pre-trained language models/modules covering the categories of general, translation, Chinese, dialogue, controllable, distilled, prompting, and lightweight models (modules). From a training perspective, we support 4 pre-training objectives and 4 efficient and robust training strategies, such as distributed data parallel and efficient generation. Compared with the previous version of TextBox, this extension mainly focuses on building a unified, flexible, and standardized framework for better supporting PLM-based text generation models. -
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OpenXR-Hpp project
Open-Source OpenXR C++ language projection
...If you just want to generate the headers, run ./generate-openxr-hpp.sh or ./generate-openxr-hpp.ps1. If your OpenXR-SDK-Source (or internal gitlab) repo isn't in a directory named that parallel to this one, you can set OPENXR_REPO environment variable before running. Requires clang-format, preferably 6.0. To build this project, you must have OpenXR-SDK-Source cloned in a peer directory of this one. -
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OK
Welcome to the future of programming languages
...The language emphasises readability and pushing logic out into functions so cases remain simple. It includes concurrency via a map function that executes callbacks in parallel. The project is illustrative of Duffield’s vision: code should feel “magical to write” by removing what is unnecessary. -
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WFIO .NET Bindings
.NET bindings for WFIO
This subproject contains a parallel implementation effort for the .NET Virtual Machine. It allows for you to use the WFIO interface in your .NET applications and will include a translation layer so that you can talk to the native WFIO libraries. This subproject exists partially to overcome the 8.3 file naming convention that WFIO itself is limited to. -
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webotron
Using industrial automation techniques for creating web scraping tools
Industry uses machines that can easily maim or kill their operators and is also used in very adverse environments. In spite of this, production quality must be close to perfect without reliance on operator skill or attentiveness. Control programs must be robust, yet simple enough to be understood and maintained by non programmer skilled trades like electricians . The main programming model is the PLC which implements double buffering and an event loop. The most advanced production model... -
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FLoops.jl
Fast sequential, threaded, and distributed for-loops for Julia
Fast sequential, threaded, and distributed for-loops for Julia, fold for humans.FLoops.jl provides a macro @floop. It can be used to generate a fast generic sequential and parallel iteration over complex collections. Furthermore, the loop written in @floop can be executed with any compatible executors. See FoldsThreads.jl for various thread-based executors that are optimized for different kinds of loops. FoldsCUDA.jl provides an executor for GPU. FLoops.jl also provides a simple distributed executor. -
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ImageJ2x
Java Image Processing Program
...The program supports simultaneous that number of windows (images), limited only by available memory. It is multithreaded, so that time-consuming operations such as reading lists in parallel with other operations are performed. It can calculate area and pixel value statistics of user-defined selection. It can measure distances and angles. It can record density histograms and line profiles. It supports standard image processing functions such as contrast manipulation, sharpening, smoothing, edge detection and filtering it through all kinds of geometric transformations such as Zoom in / out and rotation. ... -
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OpenProject Community Ed Virtual Machine
Free & Open Source - Project / Task / Time & Team Management Software
Please click the Files Tab above to get all the related files of this system. ( Right Click Each File, to Open Them in New Tab, one by one, to download them all ) This is a Complete Virtual Machine, with Web Based OpenProject Software, for all sorts of Project Management / Task Management / Time Management & Team Management Activities. This Web Based Software can be operated by all Teams, in parallel, on your local and trusted work network. Have a look at the Video below for details. Refer Wiki for more instructions. -
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ThreadsX.jl
Parallelized Base functions
...The public API functions of ThreadsX expect that the data structure and function(s) passed as argument are "thread-friendly" in the sense that operating on distinct elements in the given container from multiple tasks in parallel is safe. For example, ThreadsX.sum(f, array) assumes that executing f(::eltype(array)) and accessing elements as in array[i] from multiple threads is safe. -
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SkePi
Data parallel and stream parallel skeletons implemented in erlang.
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Vue Query
Hooks for fetching, caching and updating asynchronous data in Vue
...Transport/protocol/backend agnostic data fetching (REST, GraphQL, promises, whatever!) Auto Caching + Refetching (stale-while-revalidate, Window Refocus, Polling/Realtime) Parallel + Dependent Queries. Mutations + Reactive Query Refetching. Multi-layer Cache + Automatic Garbage Collection. Paginated + Cursor-based Queries. Load-More + Infinite Scroll Queries w/ Scroll Recovery. Request Cancellation. (experimental) Suspense + Fetch-As-You-Render Query Prefetching (experimental) SSR support. If you need to update options on your query dynamically, make sure to pass them as reactive variables. -
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Elephas
Distributed Deep learning with Keras & Spark
...Elephas intends to keep the simplicity and high usability of Keras, thereby allowing for fast prototyping of distributed models, which can be run on massive data sets. Elephas implements a class of data-parallel algorithms on top of Keras, using Spark's RDDs and data frames. Keras Models are initialized on the driver, then serialized and shipped to workers, alongside with data and broadcasted model parameters. Spark workers deserialize the model, train their chunk of data and send their gradients back to the driver. The "master" model on the driver is updated by an optimizer, which takes gradients either synchronously or asynchronously. ... -
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dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing. -
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eCScope
Oscilloscope like software for measure data with INA260 chips
Freeware software for Raspberry PI 4B+ using GPIO and I2C connections with a hardware board with a 30 cm I2C cable (seed or qwicc) or 2m (proprietary eComet). Hardware will be available soon at http://electromaker.io. main features: max 150s measurement time, load measurement data to CSV file, measurement calibration, parallel measurement of 4 values, scale zoom in out, and move at X and Y axes For news and updates see twitter page. -
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Buck
Build system that encourages the creation of small, reusable modules
...It encourages the creation of small, reusable modules consisting of code and resources, and supports a variety of languages on many platforms. Buck builds independent artifacts in parallel to take advantage of multiple cores on your machine. Further, it reduces incremental build times by keeping track of unchanged modules so that the minimal set of modules is rebuilt. Buck only uses the declared inputs, which means everybody gets the same results. Buck looks at the contents of your inputs, not their timestamps to figure out what needs to be built. ... -
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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 new FullyShardedDataParallel (FSDP) wrapper provided by fairscale. Fairseq can be extended through user-supplied plug-ins. Models define the neural network architecture and encapsulate all of the learnable parameters. ...
