Search Results for "dv-kernel" - Page 5
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Showing 2701 open source projects for "dv-kernel"
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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.
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The Astrid Book
The canonical reference for Astrid OS
The Astrid Book is the canonical reference project for Astrid OS. It documents the kernel, capsule model, host ABI, bus, and security model in one structured technical book. The project is built with mdBook, making it suitable for browsing, serving, and maintaining as developer documentation. It is intended to act as a stable reference for how Astrid OS components interact and how its core abstractions are defined. The repository also includes tooling that generates reference appendices from the Astrid source tree. ... -
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A12s Kernel
Samsung A12s Kernel, Binary UC/SC
Mizumo-Prjkt Modification of Galaxy A12s Check: https://github.com/MizProject/galaxy-a12s-kernel This is a download hub and a git mirror -
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Azure Linux
General purpose Linux OS for Azure
Azure Linux is Microsoft’s open-source Linux distribution built and optimized for Azure environments. It is designed to provide a secure and reliable operating system for virtual machines, containers, and bare-metal platforms. The distribution is derived from Fedora Linux sources while adding Azure-specific engineering for cloud operations. It uses the RPM package ecosystem, which makes it familiar to administrators and developers who already work with RPM-based Linux systems. Azure Linux... -
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Armbian Linux Build Framework
Armbian Linux Build Framework
...Special config utilities are optional. A distributed image is compressed to its real data size which starts below 1G. Login is possible via serial, HDMI/VGA or SSH. Boot loader and kernel optimizations, memory caching, ZRAM swap, and video acceleration where applicable. Images are made fully automatized from sources. Releases are PGP signed and code is regularly inspected by the community. Long-term support, quick security fixes, documentation and community-based end-user support. Make sure you have a good & reliable SD card and a proper power supply. ... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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ToaruOS
Hobby operating system, bootloader, kernel, drivers, C library
...While many independent, hobby, and research OSes aim to experiment with new designs, ToaruOS is intended as an educational resource, providing a representative microcosm of functionality found in major desktop operating systems. The OS includes a kernel, bootloader, dynamic shared object linker, C standard library, its own composited windowing system, a dynamic bytecode-compiled programming language, advanced code editor, and dozens of other utilities and example applications. There are no external runtime dependencies and all required source code, totaling roughly 100k lines of (primarily) C, is included in this repository, save for Kuroko, which lives separately. ... -
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Privilege-Escalation
This cheasheet is aimed at the CTF Players and Beginners
...It is aimed at CTF players, penetration testers, and beginners studying post-exploitation techniques in controlled environments. The repository organizes material by common escalation vectors instead of presenting a single automated tool. Topics include sudo permissions, SUID binaries, kernel weaknesses, scheduled jobs, Linux capabilities, writable files, containers, databases, and network services. Individual guides connect these concepts to vulnerable lab machines and CTF examples. This structure helps learners recognize recurring misconfigurations and understand why they create security risk. The collection is primarily focused on Linux-oriented privilege escalation and educational security practice. -
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How To Secure A Linux Server
An evolving how-to guide for securing a Linux server
...The guide covers server setup, operating system choices, SSH hardening, firewall rules, user accounts, automatic updates, logging, intrusion prevention, and common web server considerations. It also includes dedicated material for kernel sysctl hardening and Nginx security. The project is not positioned as a complete enterprise compliance framework, but it provides a strong baseline for safer self-hosted servers. It is especially useful for developers, homelab users, and small teams who manage internet-facing Linux machines and want a checklist-style security reference. -
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ChefKiss Inferno
Emulating Apple Silicon devices
...It is designed to bridge gaps between macOS hardware capabilities and software ecosystems that traditionally rely on different GPU architectures, such as those found in Linux or Windows environments. The project typically operates at the intersection of kernel extensions, GPU drivers, and virtualization layers, aiming to unlock performance features that are otherwise restricted or unavailable. Inferno is especially relevant for developers working on emulation, virtualization, or cross-platform graphics stacks, as it attempts to expose native GPU functionality in unconventional contexts. ... -
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baru
A system monitor written in Rust and C
...Wireless and wired modules use the netlink interface with the help of libnl to talk directly to the kernel and retrieve their data. Baru is modular. This means that only the modules you want to see are instantiated and executed. -
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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GoNB
GoNB, a Go Notebook Kernel for Jupyter
Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it can't be used as a C kernel. It already includes many goodies: cache between cell of results, contextual help and auto-complete (with gopls), compilation error context (by mousing over), bash command execution, images, html, etc. ... -
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Skitter Creek Bath Salts
Unlocking _everything_ on the CPU with DRAM scrambling
...Its examples examine protected areas associated with the Platform Security Processor, System Management Mode, C6 memory, and CPU microcode. The repository includes kernel code, user-space tooling, example material, collected data, and technical analysis. It is intended for advanced hardware-security research rather than general-purpose system administration. -
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jamesob's guide to running SOTA LLMs
Everything I know about running LLMs locally
jamesob's guide to running SOTA LLMs is a practical guide and configuration repository for running high-end language models on local hardware. It documents one developer’s local LLM setup, including hardware choices, GPU layout, storage, PCIe switches, kernel settings, and serving workflows. The repository compares budget levels ranging from dual RTX 3090 systems to high-end multi-GPU workstations with very large VRAM pools. It includes ready-to-run serving configurations for selected models and local speech-to-text workloads. The guide focuses on real deployment details such as Docker containers, model weight storage, GPU peer-to-peer behavior, and agentic workload performance. ... -
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NVIDIA Warp
A Python framework for accelerated simulation, data generation
NVIDIA Warp is a high-performance Python framework developed by NVIDIA for building and accelerating simulation, graphics, and physics-based workloads using GPU computing. It enables developers to write kernel-level code in Python that is automatically compiled into efficient CUDA kernels, combining ease of use with near-native performance. The framework is designed for applications such as robotics, reinforcement learning, physical simulation, and differentiable computing, where performance and flexibility are critical. Warp provides a set of primitives for working with arrays, geometry, and physics operations, allowing users to implement complex simulations without writing low-level CUDA code directly. ... -
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eduOS-rs
A teaching operating system written in Rust
...Designed to run on x86_64 hardware using QEMU, eduOS-rs leverages Rust’s ownership model and type safety to reduce bugs common in low-level systems development. It is a valuable resource for students and instructors alike, providing clear, structured examples of kernel development. -
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The Amazon Linux hibernation agent
The Amazon Linux hibernation agent
...If there's no swap space, it launches a background thread to create it and touch all of its blocks to make sure that EBS volumes are pre-warmed if configured. This is configurable. It updates the offset of the swap file in the kernel using SNAPSHOT_SET_SWAP_AREA ioctl. It updates the resume offset and resume device in grub file. -
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Multik
Multidimensional array library for Kotlin
Multidimensional array library for Kotlin. -
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CubeCL
Multi-platform high-performance compute language extension for Rust
...CubeCL focuses on delivering predictable performance and composability by exposing explicit control over memory layouts, parallelism, and execution patterns while still maintaining a developer-friendly syntax. The framework is built to integrate tightly with modern ML stacks, enabling efficient tensor operations and custom kernel development that can outperform generic libraries in specialized workloads. By combining compiler optimizations with a domain-specific language, CubeCL allows developers to generate highly optimized code for different hardware backends while maintaining a single source of truth. -
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ANE Training
Training neural networks on Apple Neural Engine via APIs
...It explores the internal software stack of the Apple Neural Engine by interfacing with private classes such as _ANEClient and compiling custom compute graphs in the MIL format. The project includes performance benchmarks and kernel breakdowns that show how different components of the training loop are distributed between the ANE and CPU. It is primarily intended as a research and educational proof of concept rather than a production library, highlighting what is technically possible with undocumented hardware access. -
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RWKV Runner
A RWKV management and startup tool, full automation, only 8MB
...So it's combining the best of RNN and transformer - great performance, fast inference, fast training, saves VRAM, "infinite" ctxlen, and free text embedding. Moreover it's 100% attention-free. Default configs has enabled custom CUDA kernel acceleration, which is much faster and consumes much less VRAM. If you encounter possible compatibility issues, go to the Configs page and turn off Use Custom CUDA kernel to Accelerate. -
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fswatch
A cross-platform file change monitor with multiple backends
...A monitor based on kqueue, an event notification interface introduced in FreeBSD 4.1 and supported on most BSD systems (including OS X). A monitor based on inotify, a Linux kernel subsystem that reports file system changes to applications. A monitor based on File Events Notification, a Solaris/Illumos kernel API that reports file events. A monitor based on ReadDirectoryChangesW, a Microsoft Windows API that reports changes to a directory. -
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SocketCAN userspace utilities and tools
Linux-CAN / SocketCAN user space applications
SocketCAN userspace utilities and tools. This repository contains some userspace utilities for the Linux CAN subsystem (aka SocketCAN). -
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Android File Transfer For Linux
Android File Transfer for Linux (and macOS!)
Android File Transfer for Linux — a reliable MTP client with a minimalistic UI similar to Android File Transfer. -
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CUDA Agent
Large-Scale Agentic RL for High-Performance CUDA Kernel Generation
CUDA Agent is a research-driven agentic reinforcement learning system designed to automatically generate and optimize high-performance CUDA kernels for GPU workloads. The project addresses the long-standing challenge that efficient CUDA programming typically requires deep hardware expertise by training an autonomous coding agent capable of iterative improvement through execution feedback. Its architecture combines large-scale data synthesis, a skill-augmented CUDA development environment,... -
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Elkeid
Open source solution that can meet the requirements of workloads
Elkeid is an open-source platform for security and intrusion-detection that aims to support a wide variety of deployment contexts — from bare-metal hosts to containers, Kubernetes clusters, and even serverless environments. It was born out of ByteDance’s internal security best practices, offering for community users a subset of its enterprise-grade capabilities. Elkeid combines kernel-level data collection, user-space agents, and runtime instrumentation (RASP) to detect malicious behavior, file anomalies, runtime exploits, and suspicious container activity. For container or cloud-native workloads, it also supports gathering audit logs from Kubernetes and correlating events across processes, network, and file activity to detect security threats. ...
