Search Results for "parallel-sudoku-solver" - Page 11
Sort By:
Showing 1929 open source projects for "parallel-sudoku-solver"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
1
Rubik's Cube Solver
3x3x3 Rubik's Cube solver
A sophisticated, cross-platform Rubik's Cube simulator and solver built with Python, PyQt5, and OpenGL. This application combines elegant 3D visualization with powerful solving capabilities, offering both casual users and cube enthusiasts a feature-rich environment for exploring and solving Rubik's cubes. -
2
Sokoban Solver Statistics
Statistics for the best Sokoban solver programs
This project presents statistics for the best Sokoban solver programs. Additionally, it features a Sokoban program for playing the game. -
3
Spacemesh
Go Implementation of the Spacemesh protocol full node
...Unlike Proof of Work, PoST leverages unused hard drive space to secure the network, enabling anyone with a computer to participate without specialized hardware. Spacemesh introduces a mesh-based block DAG (Directed Acyclic Graph) structure for scalable and parallel consensus. The project aims to build a decentralized, permissionless, and egalitarian financial operating system accessible to everyone. -
4
julep
A new DSL and server for AI agents and multi-step tasks
Julep is a platform for creating AI agents that remember past interactions and can perform complex tasks. It offers long-term memory and manages multi-step processes. Julep enables the creation of multi-step tasks incorporating decision-making, loops, parallel processing, and integration with numerous external tools and APIs. While many AI applications are limited to simple, linear chains of prompts and API calls with minimal branching, Julep is built to handle more complex scenarios. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
5
magentic
Seamlessly integrate LLMs as Python functions
Easily integrate Large Language Models into your Python code. Simply use the @prompt and @chatprompt decorators to create functions that return structured output from the LLM. Mix LLM queries and function calling with regular Python code to create complex logic. -
6
go-streams
A lightweight stream processing library for Go
...In computing, a pipeline, also known as a data pipeline, is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel or in time-sliced fashion. Some amount of buffer storage is often inserted between elements. -
7
gulp
A toolkit to automate & enhance your workflow
gulp is a streaming build system that automates slow, repetitive and time-consuming tasks in your development workflow. It is simple and easy to use with only a minimal API surface, but powerful enough to compose efficient build pipelines. gulp is flexible and composable, and is also platform-agnostic, which means you can use it with PHP, .NET, Java and many other platforms. It’s got a strong ecosystem of npm modules and over 3000 curated, community-built plugins, so you can achieve... -
8
S5CMD
Parallel S3 and local filesystem execution tool
s5cmd is a very fast S3 and local filesystem execution tool. It comes with support for a multitude of operations including tab completion and wildcard support for files, which can be very handy for your object storage workflow while working with large number of files. There are already other utilities to work with S3 and similar object storage services, thus it is natural to wonder what s5cmd has to offer that others don't. s5cmd supports wide range of object management tasks both for cloud... -
9
SIMD
C++ wrappers for SIMD intrinsics
SIMD is a C++ library that provides portable abstractions over SIMD (Single Instruction, Multiple Data) instructions, enabling developers to write high-performance vectorized code without dealing directly with architecture-specific intrinsics. SIMD instructions allow a single operation to be applied to multiple data elements simultaneously, significantly accelerating numerical and data-parallel computations. However, differences across CPU architectures and compilers make direct usage complex, which xsimd addresses by offering a unified API that maps efficiently to underlying hardware capabilities. The library supports a wide range of instruction sets, including SSE, AVX, NEON, and WebAssembly SIMD, ensuring portability across platforms. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
10
Google Highway
Performance-portable, length-agnostic SIMD with runtime dispatch
Google Highway is a high-performance C++ library designed to provide portable SIMD (Single Instruction, Multiple Data) vectorization across multiple CPU architectures while maintaining predictable and efficient behavior. It abstracts low-level vector intrinsics into a consistent API that maps closely to hardware instructions, allowing developers to write high-performance code without relying heavily on compiler auto-vectorization. Highway enables the same source code to run across different... -
11
Parallax
Parallax is a distributed model serving framework
Parallax is a decentralized inference framework designed to run large language models across distributed computing resources. Instead of relying on centralized GPU clusters in data centers, the system allows multiple heterogeneous machines to collaborate in serving AI inference workloads. Parallax divides model layers across different nodes and dynamically coordinates them to form a complete inference pipeline. A two-stage scheduling architecture determines how model layers are allocated to... -
12
Superpowers
An agentic skills framework & software development methodology
Superpowers Framework is a widely-used agentic skills framework and methodology for software development that equips coding agents like Claude Code with structured capabilities to plan, develop, test, and review code systematically. Instead of simply generating code, Superpowers drives an AI through a thoughtful software engineering workflow that starts with clarifying project intent, teasing out a detailed specification, and creating an implementation plan that is readable and actionable.... -
13
Argo CD Image Updater
Automatic container image update for Argo CD
Argo CD Image Updater is a tool to automatically update the container images of Kubernetes workloads which are managed by Argo CD. In a nutshell, it will track image versions specified by annotations on the Argo CD Application resources and update them by setting parameter overrides using the Argo CD API. Currently, it will only work with applications that are built using Kustomize or Helm tooling. Applications built from plain YAML or custom tools are not supported yet (and maybe never... -
14
AWS SDK for Go v2
AWS SDK for the Go programming language
...The SDK also includes helpful utilities. For example, the Amazon S3 download and upload manager can automatically break up large objects into multiple parts and transfer them in parallel. Use the AWS SDK for Go Developer Guide to help you install, configure, and use the SDK. The guide provides configuration information, sample code, and an introduction to the SDK utilities. -
15
ArrayFire
ArrayFire, a general purpose GPU library
ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if you're interested and able to write top performing tensor functions. ... -
16
Starknet Foundry
Blazing fast toolkit for developing Starknet contracts
...It is useful for developers who need testing, deployment, transaction handling, chain data access, and contract interaction tools in one workflow. The toolkit supports advanced development needs such as cheatcodes, state forking, fuzz testing, multicall, parallel test execution, and debugging-oriented utilities. Its main value is giving Starknet developers a Foundry-style experience tailored to Cairo and Starknet contract development. -
17
nbdev
Create delightful software with Jupyter Notebooks
nbdev is a notebook-driven development platform (by fast.ai/AnswerDotAI) enabling you to write code, tests, documentation, and deploy software, all from Jupyter Notebooks. It provides a unified literate programming workflow where you can tag notebook cells for export to Python modules, auto-generate documentation via Quarto (and host it on GitHub Pages), run tests embedded in notebooks, manage clean notebooks with Git-friendly metadata hooks, and seamlessly publish packages to PyPI/conda,... -
18
Gradle Docker Compose Plugin
Simplifies usage of Docker Compose for integration testing
The Gradle Docker Compose Plugin by Avast integrates Docker Compose lifecycle management into Gradle builds. It allows developers to define and manage Docker containers required for integration testing or local development directly from their Gradle build scripts. This plugin automates the startup and shutdown of services, supports container health checks, and enables tight integration between application code and containerized services, enhancing reproducibility and automation in... -
19
DataChain
AI-data warehouse to enrich, transform and analyze unstructured data
Datachain enables multimodal API calls and local AI inferences to run in parallel over many samples as chained operations. The resulting datasets can be saved, versioned, and sent directly to PyTorch and TensorFlow for training. Datachain can persist features of Python objects returned by AI models, and enables vectorized analytical operations over them. The typical use cases are data curation, LLM analytics and validation, image segmentation, pose detection, and GenAI alignment. ... -
20
Libplanet
Blockchain in C#/.NET for on-chain, decentralized gaming
Libplanet is a .NET library for creating multiplayer online game in decentralized fashion, which means the whole gameplay occurs on a peer-to-peer network among equal nodes rather than an authorized central server. Under the hood, it incorporates many features (e.g., digital signature, BFT consensus, data replication) of a blockchain. -
21
Llama Recipes
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT method
The 'llama-recipes' repository is a companion to the Meta Llama models. We support the latest version, Llama 3.1, in this repository. The goal is to provide a scalable library for fine-tuning Meta Llama models, along with some example scripts and notebooks to quickly get started with using the models in a variety of use-cases, including fine-tuning for domain adaptation and building LLM-based applications with Llama and other tools in the LLM ecosystem. The examples here showcase how to run... -
22
PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework
PaddlePaddle is an open source deep learning industrial platform with advanced technologies and a rich set of features that make innovation and application of deep learning easier. It is the only independent R&D deep learning platform in China, and has been widely adopted in various sectors including manufacturing, agriculture and enterprise service. PaddlePaddle covers core deep learning frameworks, basic model libraries, end-to-end development kits and more, with support for both... -
23
Karate
Test automation made simple
...The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Assertions and HTML reports are built-in, and you can run tests in parallel for speed. There’s also a cross-platform stand-alone executable for teams not comfortable with Java. You don’t have to compile code. Just write tests in a simple, readable syntax, carefully designed for HTTP, JSON, GraphQL and XML. And you can mix API and UI test-automation within the same test script. A Java API also exists for those who prefer to programmatically integrate Karate’s rich automation and data-assertion capabilities. ... -
24
Flowly AI
Flowly is 100x faster than OpenClaw
...Designed for flexibility, Flowly supports multiple AI providers and models through LiteLLM, allowing users to customize how their assistant behaves. It features a multi-agent architecture where different specialized agents can collaborate, delegate tasks, and operate in parallel. Flowly also includes voice capabilities, enabling real-time phone interactions using speech-to-text and text-to-speech systems. Overall, it provides a powerful, extensible, and privacy-focused alternative to cloud-based AI assistants. -
25
Puma
A Ruby/Rack web server built for concurrency
...But if you're doing a lot of blocking IO (such as HTTP calls to external APIs like Twitter), Puma still improves MRI's throughput by allowing IO waiting to be done in parallel.
