Search Results for "activation"
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Showing 215 open source projects for "activation"
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Microsoft Activation Scripts (MAS)
Open-source Windows and Office activator
These scripts provide a collection of automated tools for activating Windows and Office products using KMS or MAK methods. They support both online and offline activations and offer user-friendly menus to select activation types, product editions, and license keys. The scripts are designed for advanced users needing flexible, scriptable activation methods and are frequently updated for compatibility with new Microsoft updates. -
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massgrave.dev
Documentation For Microsoft Activation Scripts (MAS)
massgrave.dev is a documentation and distribution platform associated with the Microsoft Activation Scripts project, providing a centralized interface for accessing tools and resources related to Windows and Office activation workflows. It serves as both a user-facing website and a repository-backed documentation hub that explains how to use various activation methods implemented through open-source scripts. The platform focuses on simplifying complex activation procedures by offering clear instructions, automated scripts, and troubleshooting guidance. ... -
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Office Tool Plus
Office Tool Plus localization projects
Office Tool Plus is a Windows deployment assistant for managing installation and activation of Microsoft Office, Visio, and Project (2016 through 2024). It provides a GUI for customizing installs, applying licenses, and managing components for offline and network environments. -
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Activation Key .NET Class Library
Represents the activation key used to protect your C# application.
A specific software-based key for a computer program C# source code. It certifies that the copy of the program is original. It is also called a license key, product key, product activation, software key and even a serial number. The key can be stored as a human readable text for easy transfering to the end user. Contains methods for generating the cryptography key based on the specified hardware and software binding. An additional feature is the ability to embed any information directly into the key. This information can be recovered as a byte array during key verifying. -
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go-systemd
Go bindings to systemd socket activation, journal, D-Bus
Go bindings to systemd socket activation, journal, D-Bus, and unit files. Activation, for writing and using socket activation from Go. Daemon, for notifying systemd of service status changes. Dbus, for starting/stopping/inspecting running services and units. Journal, for writing to systemd's logging service, journals. Sdjournal, for reading from journald by wrapping its C API. -
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Transformer Debugger
Tool for exploring and debugging transformer model behaviors
...TDB allows users to intervene directly in the forward pass of a model and observe how such interventions change predictions, making it possible to answer questions like why a token was selected or why an attention head focused on a certain input. It automatically identifies and explains the most influential components, highlights activation patterns, and maps relationships across circuits within the model. The tool includes both a React-based neuron viewer for exploring model components and a backend activation server for running inferences and serving data. -
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CMWTAT Digital Edition
C# toolkit to digitally activate Windows 10/11 via license
CMWTAT Digital Edition is an open-source C# application that activates Windows 10 and Windows 11 using digital license (digitally entitled activation) without requiring product keys. It's portable, easy to use, typically launched via script to bypass Defender, and maintained under GPL‑2.0. -
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Flox
Developer environments you can take with you
...The ecosystem includes CI building blocks—for example, a CircleCI Orb—to install and activate environments as part of builds and tests. Flox’s messaging focuses on faster onboarding and “time-to-activation,” reducing friction for new contributors and multi-repo organizations. In practice, it functions as both the package source and the environment switcher, keeping toolchains isolated and reproducible. -
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Ring
Ring is a reasoning MoE LLM provided and open-sourced by InclusionAI
Ring is a reasoning Mixture-of-Experts (MoE) large language model (LLM) developed by inclusionAI. It is built from or derived from Ling. Its design emphasizes reasoning, efficiency, and modular expert activation. In its “flash” variant (Ring-flash-2.0), it optimizes inference by activating only a subset of experts. It applies reinforcement learning/reasoning optimization techniques. Its architectures and training approaches are tuned to enable efficient and capable reasoning performance. Reasoning-optimized model with reinforcement learning enhancements. ... -
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TuyaOpen
Next-gen AI+IoT framework for T2/T3/T5AI/ESP32/and more
...The system includes built-in networking support for communication protocols such as Wi-Fi, Bluetooth, and Ethernet, allowing devices to connect securely to remote services and applications. TuyaOpen also integrates with Tuya’s broader cloud ecosystem, enabling developers to manage device authentication, firmware updates, device activation, and remote monitoring from centralized services. -
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MobileLLM
MobileLLM Optimizing Sub-billion Parameter Language Models
...Introduced in the ICML 2024 paper “MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases”, it focuses on delivering strong reasoning and generalization capabilities in models under one billion parameters. The framework integrates several architectural innovations—SwiGLU activation, deep and thin network design, embedding sharing, and grouped-query attention (GQA)—to achieve a superior trade-off between model size, inference speed, and accuracy. MobileLLM demonstrates remarkable performance, with the 125M and 350M variants outperforming previous state-of-the-art models of the same scale by up to 4.3% on zero-shot commonsense reasoning tasks. -
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Ling
Ling is a MoE LLM provided and open-sourced by InclusionAI
Ling is a Mixture-of-Experts (MoE) large language model (LLM) provided and open-sourced by inclusionAI. The project offers different sizes (Ling-lite, Ling-plus) and emphasizes flexibility and efficiency: being able to scale, adapt expert activation, and perform across a range of natural language/reasoning tasks. Example scripts, inference pipelines, and documentation. The codebase includes inference, examples, models, documentation, and model download infrastructure. As more developers and researchers engage with the platform, we can expect rapid advancements and improvements, leading to even more sophisticated applications. ... -
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PowerInfer
High-speed Large Language Model Serving for Local Deployment
...This hybrid execution strategy significantly reduces memory bottlenecks and improves overall inference speed. PowerInfer incorporates specialized algorithms and sparse operators to manage neuron activation patterns and minimize data transfers between hardware components. As a result, it enables powerful language models to run on consumer hardware while achieving performance comparable to more expensive server-grade systems. -
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XNNPACK
High-efficiency floating-point neural network inference operators
XNNPACK is a highly optimized, low-level neural network inference library developed by Google for accelerating deep learning workloads across a variety of hardware architectures, including ARM, x86, WebAssembly, and RISC-V. Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch Mobile, ONNX Runtime, TensorFlow.js, and MediaPipe. The library is written in C/C++ and designed for maximum portability, efficiency, and performance, leveraging platform-specific instruction sets (e.g., NEON, AVX, SIMD) for optimized execution. ... -
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Claude Cognitive
Persistent context and multi-instance coordination
...It introduces an attention-based context router that prioritizes files and content relevant to the current development discussion — tagging them as HOT, WARM, or COLD based on recency and keyword activation — so Claude Code doesn’t waste token budget rereading irrelevant code. This context routing dramatically reduces redundant token usage and accelerates large codebase interactions by focusing only on what truly matters to the current task. Additionally, Claude-Cognitive includes a pool coordinator to share state across multiple Claude Code instances, preserving what’s been learned or completed and preventing repetitive debugging or redundant exploration. -
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Magisk on WSA
Integrate Magisk root and Google Apps into WSA
...The repository includes scripts that streamline setup across Linux distributions like Ubuntu, Debian, Arch, and openSUSE, supporting both ARM64 and x64 architectures. It offers features such as unattended installation, automatic developer mode activation, and seamless updates without data loss. This project has become popular among advanced users who want more control over Android on Windows. Note: support for Magisk on WSA will end after March 5, 2025. -
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NextChat
Light and Fast AI Assistant
NextChat is a browser extension that injects a floating ChatGPT-style chat sidebar into webpages, enabling instant AI assistance during web browsing. It supports context-aware chatting using page content, quick queries, and code assistance without opening a new tab. Developers appreciate its customization options—like hotkeys, themes, and engine selection—while everyday users enjoy handy tools for writing, summarizing, or brainstorming on the fly. -
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Misago
Misago is fully featured modern forum application
...Your users may register accounts, set avatars, change options and edit their profiles. They have the option to reset forgotten passwords. Site admins may require users to confirm validity of their e-mail addresses via e-mail sent activation link, or limit user account activation to administrator action. They can use custom Q&A challenge, ReCAPTCHA, Stop Forum Spam or IP's blacklist to combat spam registrations. Pletora of settings are available to control user account behavior, like username lengths or avatar restrictions. Presence features let site members know when other users are online, offline or banned. ... -
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fvcore
Collection of common code shared among different research projects
...Its common modules include timers, logging, checkpoints, registry patterns, and configuration helpers that reduce boilerplate in research code. A standout capability is FLOP and activation counting, which analyzes arbitrary PyTorch graphs to report cost by operator and by module for precise profiling. The file I/O layer (PathManager) abstracts local/remote storage so the same code can read from disks, cloud buckets, or HTTP endpoints. Because it is small, stable, and well-tested, fvcore is frequently imported by projects like Detectron2 and PyTorchVideo to avoid duplicating infrastructure and to keep research repos. -
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SetupMiniconda
Set up your GitHub Actions workflow with conda via miniconda
setup-miniconda is a GitHub Action that sets up a Miniconda environment in CI/CD workflows. It simplifies the process of installing and configuring conda environments, enabling developers to manage dependencies and environments efficiently within their automated pipelines. -
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NextDNS
NextDNS CLI client (DoH Proxy)
NextDNS protects you from all kinds of security threats, blocks ads and trackers on websites and in apps and provides a safe and supervised Internet for kids, on all devices and on all networks. Determine your threat model and fine-tune your security strategy by enabling 10+ different types of protections. Use the most trusted threat intelligence feeds containing millions of malicious domains, all updated in real-time. Go beyond the domain, we analyze DNS questions and answers on-the-fly (in... -
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Kimi K2
Kimi K2 is the large language model series developed by Moonshot AI
Kimi K2 is Moonshot AI’s advanced open-source large language model built on a scalable Mixture-of-Experts (MoE) architecture that combines a trillion total parameters with a subset of ~32 billion active parameters to deliver powerful and efficient performance on diverse tasks. It was trained on an enormous corpus of over 15.5 trillion tokens to push frontier capabilities in coding, reasoning, and general agentic tasks while addressing training stability through novel optimizer and... -
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Dj-Rest-Auth
Authentication for Django Rest Framework
Since the introduction of django-rest-framework, Django apps have been able to serve up app-level REST API endpoints. As a result, we saw a lot of instances where developers implemented their own REST registration API endpoints here and there, snippets, and so on. We aim to solve this demand by providing dj-rest-auth, a set of REST API endpoints to handle User Registration and Authentication tasks. By having these API endpoints, your client apps such as AngularJS, iOS, Android, and others... -
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Garfish
A powerful micro front-end framework
...The access is simple, and multiple front-end applications can be easily combined into a single product with a cohesive. Support vue, react, andangular mixed use of multiple frameworks. The method used in practical applications is greatly simplified. Support configuration routing activation information can complete automated loading and destruction. The micro-front end is a structure similar to the micro-service. It is a architectural style composed of multiple front-end applications delivered independently, which breaks down the front-end applications into smaller, simpler applications that can be developed, tested, and deployed independently. , And in the eyes of users, it is still a single product that is introverted. -
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pycm
Multi-class confusion matrix library in Python
PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and an accurate evaluation of large variety of classifiers.
