Search Results for "zyc-kernels"
Sort By:
Showing 2251 open source projects for "zyc-kernels"
View related business solutions-
Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
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.
-
1
Tile Kernels
A kernel library written in tilelang
Tile Kernels is a DeepSeek kernel library written with TileLang for high-performance AI and machine-learning workloads. It contains specialized kernels for areas such as mixture-of-experts routing, quantization, batched transpose operations, Engram gating, and Manifold HyperConnection components. The project includes both optimized kernel implementations and PyTorch reference versions for comparison and validation. -
2
Jupyter Enterprise Gateway
Enables Jupyter Notebooks to share resources across clusters
...Some of the core functionality it provides is better optimization of compute resources, improved multi-user support, and more granular security for your Jupyter notebook environment - making it suitable for enterprise, scientific, and academic implementations. From a technical perspective, Jupyter Enterprise Gateway is a web server that enables the ability to launch kernels on behalf of remote notebooks. This leads to better resource management, as the web server is no longer the single location for kernel activity. It essentially exposes a Kernel as a Service model. By default, the Jupyter framework runs kernels locally - potentially exhausting the server of resources. By leveraging the functionality of the underlying resource management applications like Hadoop YARN, Kubernetes, and others. -
3
Linux Kernel
Linux Kernel source tree
The Linux Kernel is the core component of the Linux operating system—a free, open-source, monolithic, Unix-like system kernel initiated by Linus Torvalds in 1991 and since evolved into a foundational technology powering everything from servers and supercomputers to smartphones and embedded devices. There are various text files in the Documentation/ subdirectory, several of them using the reStructuredText markup notation. Extensive filesystem compatibility (ext4, Btrfs, FUSE, XFS, etc.) Broad... -
4
DeepGEMM
Clean and efficient FP8 GEMM kernels with fine-grained scaling
...It supports both standard and “grouped” GEMMs, which is useful for architectures like Mixture of Experts (MoE) that require segmented matrix multiplications. One distinguishing aspect is that DeepGEMM compiles its kernels at runtime (via a lightweight Just-In-Time (JIT) module), so users don’t need to precompile CUDA kernels before installation. Despite its lean design, it includes scaling strategies (fine-grained scaling) and optimizations inspired by cutting edge systems (drawing from ideas in CUTLASS, CuTe) but in a more streamlined form. -
Earn up to 16% annual interest with Nexo.Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
-
5
almond
A Scala kernel for Jupyter
Almond already supports code navigation in dependencies via meta browse, paving the way for more IDE-like features and closer integration with the Scalameta ecosystem. Ammonite is a modern and user-friendly Scala shell. Almond wraps it in a Jupyter kernel, giving you all its features and niceties, including customizable pretty-printing, magic imports, advanced dependency handling, and its API, right from Jupyter. This also makes it easy to copy some code from notebooks to Ammonite scripts,... -
6
Linux Surface
Linux Kernel for Surface Devices
Linux running on Microsoft Surface devices. These days, Linux supports a lot of devices out-of-the-box. As a matter of fact, this includes a good portion of the Microsoft Surface devices—for most parts at least. Unfortunately, Surface devices tend to be a bit special. This is mostly because some hardware choices Microsoft made are rarely (if at all) used by other, more "standard", devices. We aim to send all the changes we make here upstream, but this may take time. This kernel allows us to... -
7
sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
Sparkmagic is a set of tools for interactively working with remote Spark clusters in Jupyter notebooks. Sparkmagic interacts with remote Spark clusters through a REST server. Automatic visualization of SQL queries in the PySpark, Spark and SparkR kernels; use an easy visual interface to interactively construct visualizations, no code required. Ability to capture the output of SQL queries as Pandas dataframes to interact with other Python libraries (e.g. matplotlib). Send local files or dataframes to a remote cluster (e.g. sending pretrained local ML model straight to the Spark cluster) Authenticate to Livy via Basic Access authentication or via Kerberos. -
8
netboot.xyz
Your favorite operating systems in one place
netboot.xyz enables you to boot into many types of operating systems using lightweight tooling to get you up and running as soon as possible. Discover new operating systems without having to download and rewrite media over and over again. Rescue operating systems from a single image. An essential for any sysadmin. netboot.XYZ uses the iPXE project to enable you to provision, rescue, or load into a live boot environment leveraging the Preboot Execution Environment (PXE) on most systems.... -
9
FlashKDA
High-performance Kimi Delta Attention kernels
FlashKDA is an open-source library of high-performance CUDA kernels for Kimi Delta Attention, implemented on NVIDIA CUTLASS. It is intended to accelerate the forward pass used by KDA-based language models on modern NVIDIA GPUs. The package integrates with flash-linear-attention and can be selected automatically as the backend for chunk_kda during inference. It supports recurrent state input and output, variable-length batches, internal gating, query-key normalization, and beta activation. ... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
-
10
Zen Kernel
Zen Patched Kernel Sources
Zen Patched Kernel Sources. This is the top level of the kernel’s documentation tree. Kernel documentation, like the kernel itself, is very much a work in progress; that is especially true as we work to integrate our many scattered documents into a coherent whole. ARC processors are highly configurable and several configurable options are supported in Linux. Some options are transparent to software (i.e cache geometries, some can be detected at runtime and configured and used accordingly,... -
11
syzkaller
syzkaller is an unsupervised coverage-guided kernel fuzzer
syzkaller is Google’s coverage-guided, feedback-driven kernel fuzzer designed to uncover reliability and security bugs in operating system kernels at scale. It automatically generates, mutates, and minimizes system call programs, then drives them through a specialized executor (syz-executor) to exercise deep kernel paths. The system integrates tightly with sanitizers such as KASAN, KMSAN, KCSAN, and UBSAN to surface memory safety, concurrency, and undefined behavior issues with actionable reports. ... -
12
IPython Kernel for Jupyter
IPython Kernel for Jupyter
This package provides the IPython kernel for Jupyter. IPython provides a rich toolkit to help you make the most of using Python interactively. -
13
Rocket.Chat Desktop App
OSX, Windows, and Linux Desktop Clients for Rocket.Chat
Secure and compliant communications platform. We use communication platforms on a daily basis to collaborate with colleagues, other companies, customers, and communities. Most of them give you very little in terms of control and customizations; except Rocket.Chat. Bring together messages, projects, and tasks in one place and watch your team’s productivity rise to new heights. Engage in contextual interactions with customers irrespective of how they contact you. Ensure long-term relationships... -
14
WSL2-Linux-Kernel
The source for the Linux kernel used in Windows Subsystem for Linux 2
The WSL2-Linux-Kernel repo contains the kernel source code and configuration files for the WSL2 kernel. If you discover an issue relating to WSL or the WSL2 kernel, please report it on the WSL GitHub project. It is not possible to report issues on the WSL2-Linux-Kernel project. Instructions for building an x86_64 WSL2 kernel with an Ubuntu distribution are provided. The number one way that we recommend you run Linux distributions is by installing Windows Terminal. Using Windows Terminal... -
15
u-root
A fully Go userland with Linux bootloaders
A fully Go userland with Linux bootloaders! u-root can create a one-binary root file system (initramfs) containing a busybox-like set of tools written in Go. -
16
Slack(ish) Kernels
Slack(ish) Linux Kernels I have designed & use on various computers.
These are packaged Slackware(ish) Linux Kernels that I designed, and use with various computers, such as a Banana Pi R2, and Nano Pi R5C, and more ... -
17
JupyterLite
Wasm powered Jupyter running in the browser
JupyterLite is a browser-based distribution of the Jupyter ecosystem that enables interactive computing entirely within a web browser without requiring a backend server. Built using JupyterLab components and powered by WebAssembly technologies, it allows users to run Python and other language kernels directly in the browser through tools like Pyodide or Xeus. This architecture eliminates the need for installation or server infrastructure, making it highly accessible for education, demonstrations, and lightweight data science workflows. JupyterLite supports many core Jupyter features, including notebooks, code consoles, and interactive visualizations, while storing files locally using browser storage mechanisms such as IndexedDB. ... -
18
Zephyr Project
Scalable, optimized, secure RTOS for multiple hardware architectures
The Zephyr Project is a new generation real-time operating system (RTOS) that supports multiple hardware architectures. It is based on a small-footprint kernel specially designed for use on resource-constrained and embedded systems. The Zephyr OS can be used for a wide range of applications: from simple embedded environmental sensors and LED wearables to sophisticated embedded controllers, smart watches, and IoT wireless applications. -
19
vLLM
A high-throughput and memory-efficient inference and serving engine
vLLM is a fast and easy-to-use library for LLM inference and serving. High-throughput serving with various decoding algorithms, including parallel sampling, beam search, and more. -
20
Moss
Rust Linux-compatible kernel
Moss Kernel is an open-source operating system kernel project designed to explore modern OS design and provide a foundation for experimental system research and development. Rather than replicating traditional monolithic kernels exactly, it emphasizes modularity, safety, and simplicity by incorporating well-structured subsystems for memory management, scheduling, and device abstraction that are easy for contributors to understand and extend. The kernel uses Rust as its primary implementation language, which gives it strong memory safety guarantees and helps reduce common classes of bugs like data races and buffer overflows without sacrificing performance. ... -
21
IJulia.jl
Julia kernel for Jupyter
IJulia is a Julia-language backend (kernel) for Jupyter notebooks, allowing users to write and execute Julia code interactively in browser-based notebooks. It integrates seamlessly with Jupyter’s ecosystem, supporting markdown, plotting, multimedia, and inline output. IJulia is ideal for scientific computing, data analysis, and education, combining the power of Julia with the interactive capabilities of Jupyter. -
22
GPflow
Gaussian processes in TensorFlow
GPflow is a package for building Gaussian process models in Python. It implements modern Gaussian process inference for composable kernels and likelihoods. GPflow builds on TensorFlow 2.4+ and TensorFlow Probability for running computations, which allows fast execution on GPUs. -
23
KernelAbstractions.jl
Heterogeneous programming in Julia
KernelAbstractions (KA) is a package that enables you to write GPU-like kernels targetting different execution backends. KA is intended to be a minimal and performant library that explores ways to write heterogeneous code. -
24
stress-ng
This is the stress-ng upstream project git repository.
This is the stress-ng upstream project git repository. stress-ng will stress test a computer system in various selectable ways. It was designed to exercise various physical subsystems of a computer as well as the various operating system kernel interfaces. stress-ng was originally intended to make a machine work hard and trip hardware issues such as thermal overruns as well as operating system bugs that only occur when a system is being thrashed hard. Use stress-ng with caution as some of... -
25
ravynOS
A BSD-based OS project that aims to provide an experience with MacOS
We love macOS, but we’re not a fan of the ever-closing hardware and ecosystem. So we are creating ravynOS, an OS aimed to provide the finesse of macOS with the freedom of FreeBSD. This is a developer preview image that’s mainly intended for helping build the system. We recommend running in a virtual machine, although it should work on any hardware supported by FreeBSD-CURRENT (14.0) with at least 2GB (8GB recommended) RAM. PLEASE NOTE: On 2022-02-14, we decided to abandon the current path of...
