Search Results for "parallel-sudoku-solver" - Page 7
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Showing 1527 open source projects for "parallel-sudoku-solver"
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Laravel Workflow
Durable workflow engine that allows users to track job status
Laravel Workflow is a package for the Laravel web framework that provides tools for defining and managing workflows and activities. A workflow is a series of interconnected activities that are executed in a specific order to achieve a desired result. Activities are individual tasks or pieces of logic that are executed as part of a workflow. Laravel Workflow can be used to automate and manage complex processes, such as financial transactions, data analysis, data pipelines, micro-services, job... -
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Pro Workflow
Claude Code learns from your corrections: self-correcting memory
...The system learns from user corrections over time, storing feedback and refining its behavior across sessions to improve accuracy and efficiency. It supports advanced development setups such as parallel worktrees, enabling multiple tasks to be handled simultaneously without interference. The framework includes a collection of prebuilt skills and workflows that have been tested in real-world scenarios, providing a strong starting point for developers. It emphasizes continuous improvement, where each interaction contributes to better performance in future tasks. ... -
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Folia
Fork of Paper which adds regionized multithreading
...Folia addresses this limitation by dividing the game world into independent regions composed of nearby chunks and assigning each region its own tick loop. These regions run concurrently on multiple threads within a thread pool, allowing server hardware with many CPU cores to process gameplay events in parallel. This architecture significantly increases scalability for large multiplayer environments where players are distributed across different areas of the world. Because the project fundamentally changes how the server processes game logic, many existing plugins are not immediately compatible and must be adapted for the new threading model. -
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kimuraframework
AI-first Ruby framework for building fast, flexible web scraping spide
...Developers can also interact with pages using browser automation features such as form filling, clicking elements, or navigating through dynamic content. It includes tools for scheduling, parallel scraping, and structured data output, making it suitable for building reliable large-scale crawlers. -
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.
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nndeploy
An Easy-to-Use and High-Performance AI Deployment Framework
...The system supports multiple inference engines and hardware accelerators, allowing the same AI workflow to run on different platforms without significant modifications. nndeploy also includes performance optimization techniques such as parallel execution, memory reuse, and hardware-accelerated operations to improve inference speed. -
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GitButler
The GitButler version control client, backed by Git
...The project is designed around developer productivity, emphasizing smoother workflows for handling multiple streams of work, reviewing changes, and recovering from mistakes without the usual friction. It also positions itself for AI-assisted development patterns, where tooling needs to support rapid iteration and parallel work while staying understandable and reversible. By offering both GUI and CLI surfaces, it can fit into different team preferences, from visual-first change review to scriptable automation. -
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Weft
Task management, but AI agents do your tasks
...It runs entirely on Cloudflare’s platform using Workers, Durable Objects, and Workflows, enabling scalable and persistent task state with minimal backend overhead. Users can set up parallel agents to handle multiple tasks at once and even schedule recurring jobs that trigger daily or weekly to keep workflows on track. Notifications inform the user when tasks are completed or when agent approvals are required, keeping oversight within reach. -
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TensorStore
Library for reading and writing large multi-dimensional arrays
...It separates the logical view (shape, dtype, chunking) from the physical layout so the same code can target Zarr, N5, TIFF pyramids, or custom backends. Rich indexing, slicing, and broadcasting operations make it feel like a familiar array API, while asynchronous I/O pipelines stream chunks efficiently in parallel. Transactional semantics allow atomic updates and consistent snapshots, which is essential for large, shared datasets used by ML and scientific workflows. The library is engineered for scalability—background caching, chunk sharding, and retryable operations keep throughput high even over unreliable networks. With language bindings, it fits into Python-heavy analysis pipelines while retaining a fast C++ core. -
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Claude Code Subagents Command Collection
Claude Code Subagents & Commands Collection + CLI Tool
...It includes a CLI helper and documentation site that streamline installation, customization, and authoring of your own agents. The project’s framing mirrors modern software teams—delegate tasks to experts that can run in parallel under Claude’s subagent support. Frequent updates and community contributions keep the catalog current with new roles and best practices. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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GenAI Processors
GenAI Processors is a lightweight Python library
...Its central abstraction is the Processor, a unit of work that consumes an asynchronous stream of parts (text, images, audio, JSON) and produces another stream, making it natural to chain operations and keep everything streaming end-to-end. Processors can be composed sequentially (to build multi-step flows) or in parallel (to fan-out work and merge results), which makes sophisticated agent behaviors easy to express with simple operators. The library offers built-in processors for classic turn-based Gemini calls as well as Live API streaming, so you can mix “batch” and real-time interactions in the same graph. It leans on Python’s asyncio to coordinate concurrency, handle network I/O, and juggle background compute threads without blocking. -
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ChrysaLisp
Parallel OS, with GUI, Terminal, OO Assembler, Class libraries
ChrysaLisp is a 64-bit, MIMD, multi-CPU, multi-threaded, multi-core, multi-user parallel operating system with features such as a GUI, terminal, OO Assembler, class libraries, C-Script compiler, Lisp interpreter, debugger, profiler, vector font engine, and more. It supports MacOS, Windows, and Linux for x64, Riscv64, and Arm64 and eventually will move to bare metal. It also allows the modeling of various network topologies and the use of ChrysaLib hub nodes to join heterogeneous host networks. ... -
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sbt
sbt, the interactive build tool
Define your tasks in Scala. Run them in parallel from sbt's interactive shell. sbt is built for Scala and Java projects. It is the build tool of choice for 93.6% of the Scala developers (2019). One of the examples of a Scala-specific feature is the ability to cross-build your project against multiple Scala versions. build.sbt is a Scala-based DSL to express parallel processing task graph. -
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Sundials.jl
Julia interface to Sundials, including a nonlinear solver
This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia implementations of solvers for various differential equations. -
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wllama
WebAssembly binding for llama.cpp - Enabling on-browser LLM inference
wllama is a WebAssembly-based library that enables large language model inference directly inside a web browser. Built as a binding for the llama.cpp inference engine, the project allows developers to run LLM models locally without requiring a server backend or dedicated GPU hardware. The library leverages WebAssembly SIMD capabilities to achieve efficient execution within modern browsers while maintaining compatibility across platforms. By running models locally on the user’s device, wllama... -
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mosdepth
fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing
mosdepth is a fast BAM/CRAM depth calculation tool for genomic data, allowing efficient computation of sequencing coverage. -
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ReplicaDB
ReplicaDB is open source tool for database replication
ReplicaDB is an open-source, multi-platform tool for database replication, enabling the migration and synchronization of data across different relational and NoSQL databases. It is optimized for efficiency and minimal downtime. -
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thc-hydra
Shows how easy it would be to gain unauthorized access to a system
...However the module engine for new services is very easy so it won't take a long time until even more services are supported. Via the command line options you specify which logins to try, which passwords, if SSL should be used, how many parallel tasks to use for attacking, etc. PROTOCOL is the protocol you want to use for attacking, e.g. ftp, smtp, http-get or many others are available. -
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ROOT
Analyzing, storing and visualizing big data, scientifically
...ROOT comes with histogramming capabilities in an arbitrary number of dimensions, curve fitting, statistical modeling, and minimization, to allow the easy setup of a data analysis system that can query and process the data interactively or in batch mode, as well as a general parallel processing framework, RDataFrame, that can considerably speed up an analysis. -
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SkytilsMod
Skytils is a Hypixel Skyblock mod
...It concentrates on practical in-game information and automation conveniences, helping players make faster decisions during dungeons, events, and routine grinding without constantly switching to external tools. A major emphasis is on “solver” style helpers and situational alerts, such as puzzle support and notifications for specific spawns or conditions, which can reduce friction in time-sensitive gameplay. The mod also includes interface enhancements, including customizable visual elements that make important combat or environment signals easier to read. Because the project is popular enough to attract malicious copies, its ecosystem stresses safe sourcing and verification, reflecting how widely used it is in the community. -
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Gajae-Code
Gajae Code MVP
...The workflow is built around clarifying requirements, planning before mutation, turning approved plans into goals, and tracking evidence until completion. It includes tmux-backed execution options for coordinating parallel workers when a task is large enough to benefit from them. Gajae-Code is useful for developers who want coding agents to behave less like single-prompt assistants and more like disciplined project collaborators. Its main value is giving AI coding work a clearer loop for interviews, plans, goals, execution checks, and evidence. -
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npminstall
Make `npm install` fast and easy
npminstall is an alternative package installation tool designed for faster and more efficient npm dependency management. Developed by the CNPM team, it focuses on reducing disk usage and improving installation speed, particularly for large projects. -
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Balloon
Modernized and sophisticated tooltips, fully customizable
Modernized and sophisticated tooltips, fully customizable with an arrow and animations on Android. -
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PartitionedArrays.jl
Vectors and sparse matrices partitioned into pieces
This package provides distributed (a.k.a. partitioned) vectors and sparse matrices in Julia. See the documentation for further details. -
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Megatron
Ongoing research training transformer models at scale
Megatron is a large, powerful transformer developed by the Applied Deep Learning Research team at NVIDIA. This repository is for ongoing research on training large transformer language models at scale. We developed efficient, model-parallel (tensor, sequence, and pipeline), and multi-node pre-training of transformer based models such as GPT, BERT, and T5 using mixed precision. Megatron is also used in NeMo Megatron, a framework to help enterprises overcome the challenges of building and training sophisticated natural language processing models with billions and trillions of parameters. ...
