Search Results for "windows boot repair"
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Showing 24 open source projects for "windows boot repair"
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Smarter Packing Decisions for Retailers and 3PLsPaccurate is the only patented cartonization solution that optimizes for transportation costs directly. So you can have the right boxes, and control how they're packed.
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Project Planning and Management Software | PlanviewPlanview® Portfolios enables enterprises to accelerate strategic execution by seamlessly integrating business and technology planning, optimizing resources, and leveraging the power of embedded AI — Planview Anvi™ — to deliver breakthrough products, services, and customer experiences. This unified approach aligns strategy with execution, driving enhanced business performance across the organization.
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JSON_REPAIR
A python module to repair invalid JSON from LLMs
json_repair is an open-source Python library designed to automatically fix malformed JSON data and convert it into valid, parseable structures. The tool is particularly useful in scenarios where JSON output is generated by large language models or external services that may produce syntactically invalid responses. Instead of failing when encountering errors such as missing quotes, trailing commas, or incomplete objects, the library analyzes the malformed data and reconstructs it into valid... -
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JimuReport
Open source drag-and-drop reporting and dashboard builder platform
JimuReport is an open source data visualization and reporting platform designed to help developers and organizations build reports, dashboards, and large screen data displays through a visual interface. It provides an online report designer that uses an Excel-like editing experience, allowing users to construct reports with drag-and-drop components and cell-based layouts. It focuses on simplifying complex report development by enabling visual configuration instead of manual coding.... -
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PicoClaw
Ultra-Efficient AI Assistant in Go
PicoClaw is an ultra-lightweight, open-source personal AI assistant written in Go, architected from the ground up to operate with extremely low memory usage (under 10 MB) and fast boot times, making it suitable for inexpensive hardware platforms and embedded devices. Inspired by earlier AI assistant projects like “nanobot,” it was refactored to emphasize resource efficiency while still supporting meaningful AI-driven interactions such as conversational workflows, planning tasks, and... -
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OpenSpace
OpenSpace: Make Your Agents: Smarter, Low-Cost, Self-Evolving
OpenSpace is a self-evolving agent framework designed to improve the performance, efficiency, and collaboration of AI agents through continuous learning and shared knowledge. It introduces a system where agents develop reusable “skills” based on real task execution, allowing them to improve over time without retraining underlying models. The platform emphasizes collective intelligence, enabling multiple agents to share learned behaviors and benefit from each other’s experiences. It also... -
Parasoft: Automated Testing to Deliver Superior Quality SoftwareParasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting the embedded, enterprise, and IoT markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to web UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. Bringing all this together, Parasoft’s award-winning reporting and analytics dashboard provides a centralized view of quality, enabling organizations to deliver with confidence and succeed in today’s most strategic ecosystems and development initiatives—security, safety-critical, Agile, DevOps, and continuous testing.
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ComfyUI-Copilot
AI assistant for ComfyUI workflow generation, debugging, and tuning
ComfyUI-Copilot is an AI-powered assistant designed to extend the capabilities of ComfyUI by simplifying and automating complex workflow development tasks. It functions as a custom node integrated directly into the ComfyUI environment, allowing users to interact with workflows through natural language and intelligent suggestions. ComfyUI-Copilot focuses on reducing the complexity of building node-based pipelines for generative AI tasks such as image generation, making it more accessible to... -
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DeepSeek-OCR
Contexts Optical Compression
DeepSeek-OCR is an open-source optical character recognition solution built as part of the broader DeepSeek AI vision-language ecosystem. It is designed to extract text from images, PDFs, and scanned documents, and integrates with multimodal capabilities that understand layout, context, and visual elements beyond raw character recognition. The system treats OCR not simply as “read the text” but as “understand what the text is doing in the image”—for example distinguishing captions from body... -
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CodeLlama
Inference code for CodeLlama models
Code Llama is a family of Llama-based code models optimized for programming tasks such as code generation, completion, and repair, with variants specialized for base coding, Python, and instruction following. The repo documents the sizes and capabilities (e.g., 7B, 13B, 34B) and highlights features like infilling and large input context to support real IDE workflows. It targets both general software synthesis and language-specific productivity, offering strong performance among open models... -
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Superglue
Builds integrations and tools from natural language
Superglue is an AI-powered integration platform that enables developers to build production-grade tools and workflows using natural language, abstracting away the complexity of connecting APIs, databases, and external systems. It functions as a universal integration layer that allows users to define workflows in plain language, which are then translated into executable pipelines capable of interacting with multiple services. One of its defining features is its ability to handle... -
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Kodezi Chronos
Kodezi Chronos is a debugging-first language model
Kodezi Chronos is a research project focused on developing a specialized language model designed specifically for debugging software and understanding large code repositories. Unlike general-purpose language models that focus primarily on code generation, Chronos is built to diagnose and repair bugs by analyzing complex relationships across files within a codebase. The project introduces architectural techniques such as Adaptive Graph-Guided Retrieval, which allows the system to navigate... -
Network Discovery Software | JDisc DiscoveryJDisc Discovery is a comprehensive network inventory and IT asset management solution designed to help organizations gain clear, up-to-date visibility into their IT environment. It automatically scans and maps devices across the network, including servers, workstations, virtual machines, and network hardware, to create a detailed inventory of all connected assets. This includes critical information such as hardware configurations, software installations, patch levels, and relationshipots between devices.
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Agentless
An agentless approach to automatically solve software development
Agentless is an open-source framework that applies large language models to automatically resolve software development issues without relying on complex autonomous agent systems. The project proposes an alternative approach to AI-driven code repair that avoids the overhead of multi-agent orchestration by using a structured pipeline for identifying and fixing bugs. When solving a problem, the system first performs localization to determine which files, functions, or code segments are most... -
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Granite Code Models
A Family of Open Foundation Models for Code Intelligence
Granite Code Models are IBM’s open-source, decoder-only models tailored for code tasks such as fixing bugs, explaining and documenting code, and modernizing codebases. Trained on code from 116 programming languages, the family targets strong performance across diverse benchmarks while remaining accessible to the community. The repository introduces the model lineup, intended uses, and evaluation highlights, and it complements IBM’s broader Granite initiative spanning multiple modalities.... -
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goodsKill
Microservices-based flash sale system for high-concurrency testing
goodsKill is a simulated flash sale microservices project built with Spring Cloud 2023.x, Spring Boot 3.x, and Dubbo 3.x. It provides a unified API for testing high-concurrency seckill scenarios while demonstrating modern backend architecture patterns. goodsKill integrates key components such as Nacos for service discovery and configuration, Redis and MongoDB for data handling, and Kafka or RabbitMQ for messaging. It supports distributed transactions, database sharding, and multiple... -
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nanochat
The best ChatGPT that $100 can buy
nanochat is a from-scratch, end-to-end “mini ChatGPT” that shows the entire path from raw text to a chatty web app in one small, dependency-lean codebase. The repository stitches together every stage of the lifecycle: tokenizer training, pretraining a Transformer on a large web corpus, mid-training on dialogue and multiple-choice tasks, supervised fine-tuning, optional reinforcement learning for alignment, and finally efficient inference with caching. Its north star is approachability and... -
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QTE Technologies-Industrial-Scientific
1M+ Industrial & Scientific MRO Metadata for AI and Research
This is the official open-data repository for QTE Technologies, providing a comprehensive archive of over 1,000,000 industrial and scientific MRO (Maintenance, Repair, and Operations) records. Optimized for Industrial AI training, RAG applications, and semantic search, this dataset includes technical specifications, global standards, and manufacturer metadata. Verification & Authority: Managed via DVC on DagsHub. Archived on Zenodo, Harvard Dataverse, and Figshare. Linked Data... -
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Botkit
Tool for building chat bots, apps and custom integrations
An open source developer tool for building chat bots, apps and custom integrations for major messaging platforms. Part of the Microsoft Bot Framework. We love bots, and want to make them easy and fun to build! Include Botkit into your Node application and boot up a controller that will define your bot's behaviors. In this case, we're setting up a bot to use with the Bot Framework Emulator. Tell the bot to listen for users saying "hello," and use `bot.reply` to send an immediate response.... -
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e-Dokyumento
e-Dokyumento is web-based Document Management System (DMS)
e-Dokyumento is opensource web-based Document Management System (DMS) A Document Management which automates the basic office document workflow such as receiving, filing, routing, and approving through capturing (scanning), digitizing (OCR Reading), storing, tagging, and electronically routing and approving (e-signature) of electronic documents. # Demo : https://e-dokyumento.herokuapp.com/ https://edokyu.seillig.com/ (refer to Readme.md for the... -
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PaddleGAN
PaddlePaddle GAN library, including lots of interesting applications
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on. PaddleGAN provides developers with high-performance implementation of classic and SOTA Generative Adversarial Networks, and supports developers to quickly build, train and deploy GANs for academic, entertainment, and industrial usage. GAN-Generative Adversarial Network, was praised by "the Father... -
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Deep Learning Drizzle
Drench yourself in Deep Learning, Reinforcement Learning
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures! Optimization courses which form the foundation for ML, DL, RL. Computer Vision courses which are DL & ML heavy. Speech recognition courses which are DL heavy. Structured Courses on Geometric, Graph Neural Networks. Section on Autonomous Vehicles. Section on Computer Graphics with ML/DL focus. -
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logmap-matcher
LogMap: An Ontology Alignment and Alignment Repair System
LogMap is a highly scalable ontology matching system with ‘built-in’ reasoning and inconsistency repair capabilities. LogMap extract mappings between classes, properties and instances. To the best of our knowledge, LogMap is one of the few matching systems that: 1. can efficiently match semantically rich ontologies containing tens (and even hundreds) of thousands of classes, 2. incorporates sophisticated reasoning and repair techniques to minimise the number of logical... -
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Swarm Wars
Safety in numbers.
REPOSITORY MOVED TO GITHUB: https://github.com/happyjack27/SwarmWars video sample: http://youtu.be/s5mLNbdBQGY A game where you evolve & compete AI swarms. The organisms use swarm intelligence & ant colony optimization. The organisms can communicate through 3-color signaling as well as by laying beacons. They can attack and repair other organisms. They can select mates, and they can gather and distribute food and material. This behavior is controlled by a genetically evolved... -
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We want to create a linguistic tool (DTAG) for dependency treebanks and implement algorithms for serial dependency parsing with repair and machine translation, based on probabilistic lexicons learned from mo
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The ASCII Project
An ASCII MMORPG / World Simulation / Genetic Programming Project
This project was previously oriented towards creating an AI based Operating System. However new visitors should refer to www.theasciiproject.com for information about what this project has developed into. -
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In this project we develop algorithms that can solve a cooperative problem between four agent types, and their goal is to repair a surface time-efficiently, and a multi-agent simulator application to parametrize, animate, and test the solution.
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Hermes 4
Hermes 4 FP8: hybrid reasoning Llama-3.1-405B model by Nous Research
Hermes 4 405B FP8 is a cutting-edge large language model developed by Nous Research, built on Llama-3.1-405B and optimized for frontier reasoning and alignment. It introduces a hybrid reasoning mode with explicit <think> segments, enabling the model to deliberate deeply when needed and switch to faster responses when desired. Post-training improvements include a vastly expanded corpus with ~60B tokens, boosting performance across math, code, STEM, logic, creativity, and structured outputs....
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