Search Results for "kernel virtual machine" - Page 3
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Showing 815 open source projects for "kernel virtual machine"
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Otter-Grader
A Python and R autograding solution
...Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an Otter-managed grading virtual machine, and a client package that allows students to run public checks on their own machines. Otter is designed to grade Python scripts and Jupyter Notebooks, and is compatible with a few different LMSs, including Canvas and Gradescope. -
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Expr
Expression language and expression evaluation for Go
Expr package provides an engine that can compile and evaluate expressions. An expression is a one-liner that returns a value (mostly, but not limited to, booleans). It is designed for simplicity, speed and safety. The purpose of the package is to allow users to use expressions inside configuration for more complex logic. It is a perfect candidate for the foundation of a business rule engine. The idea is to let configure things in a dynamic way without recompile of a program. -
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Hex
Package manager for the Erlang ecosystem
Hex is the official package manager for the Erlang ecosystem, supporting languages like Elixir and Erlang that run on the BEAM virtual machine. It integrates seamlessly with build tools such as Mix and Rebar3, allowing developers to fetch, publish, and manage packages efficiently. Hex provides a centralized repository, ensuring that packages are easily discoverable and maintainable, thereby streamlining the development workflow within the BEAM community. -
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oneDNN
oneAPI Deep Neural Network Library (oneDNN)
This software was previously known as Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) and Deep Neural Network Library (DNNL). oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics. oneDNN has experimental support for the... -
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Lua
The Lua development repository, as seen by the Lua team
...Lua combines simple procedural syntax with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, runs by interpreting bytecode with a register-based virtual machine, and has automatic memory management with incremental garbage collection, making it ideal for configuration, scripting, and rapid prototyping. Lua is designed, implemented, and maintained by a team at PUC-Rio, the Pontifical Catholic University of Rio de Janeiro in Brazil. Lua was born and raised in Tecgraf, formerly the Computer Graphics Technology Group of PUC-Rio. ... -
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HanoiVM
HanoiVM is a recursive, AI-augmented ternary virtual machine
🚀 HanoiVM — Recursive Ternary Virtual Machine **HanoiVM** is a recursive, AI-augmented **ternary virtual machine** built on a symbolic base-81 architecture. It is the execution core of the **Axion + T81Lang** ecosystem, enabling stack-tier promotion, symbolic AI opcodes, and entropy-aware transformations across three levels of logic: - 🔹 `T81`: 81-bit operand logic (register-like) - 🔸 `T243`: Symbolic BigInt + FSM state logic - 🔺 `T729`: Tensor-based AI macros with semantic dispatch Designed for research, language development, and future ternary hardware acceleration, **HanoiVM** is literate, modular, and fully recursive. -
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Besu Ethereum Client
An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client
...Participation in private networks is typically restricted in some way, so the volume of traffic is much lower than on Mainnet, resulting in lower system requirements. Depending on your environment and network setup, the minimum Java Virtual Machine (JVM) memory requirement for private networks is 4 GB. -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers,... -
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ebye
Embedded by examples
Building of embedded systems from scratch including their cross-toolchain and using virtual and/or emulated machines as pratical examples. -
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Solang
Solidity Compiler for Solana, Polkadot and Stellar
Solang is a modern Solidity compiler written in Rust that enables developers to compile smart contracts for multiple blockchain platforms beyond Ethereum, such as Solana, Polkadot, and Soroban. Unlike the traditional Solidity compiler, which targets the Ethereum Virtual Machine, Solang focuses on portability by translating Solidity code into native execution environments for different blockchains. It uses the LLVM compiler framework to generate optimized output, often producing WebAssembly or platform-specific binaries that improve execution efficiency and reduce resource consumption. The project maintains compatibility with Solidity 0.8 syntax while adapting to the unique constraints and capabilities of each target blockchain. ... -
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Clash
Haskell to VHDL/Verilog/SystemVerilog compiler
Clash is a functional hardware description language that borrows both its syntax and semantics from the functional programming language Haskell. It provides a familiar structural design approach to both combinational and synchronous sequential circuits. The Clash compiler transforms these high-level descriptions to low-level synthesizable VHDL, Verilog, or SystemVerilog. Clash is an open-source project, licensed under the permissive BSD2 license, and actively maintained by QBayLogic. The... -
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot of... -
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Sysdig
Linux system exploration and troubleshooting tool
Continuously assess cloud security posture by flagging misconfigurations and suspicious activity. Consolidate container and host scanning in a single workflow. Automate scanning locally in your CI/CD tools without images leaving your environment and block vulnerabilities pre-deployment. Visualize all network communication across apps and services. Apply microsegmentation by automating Kubernetes-native network policies. Unify threat detection and incident response across containers,... -
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Chicory
Native JVM WebAssembly runtime
Chicory is a WebAssembly runtime designed specifically for the Java Virtual Machine, enabling developers to run Wasm modules entirely within Java applications without requiring native dependencies or JNI. Implemented in pure Java, it provides a portable and secure execution environment that can run anywhere the JVM is available, including cloud, desktop, and embedded systems. The runtime loads WebAssembly binaries and exposes their functions as callable Java APIs, allowing seamless integration with existing Java codebases. ... -
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VVV
An open source Vagrant configuration for developing with WordPress
...VVV requires recent versions of both Vagrant and VirtualBox to be installed. Vagrant is a “tool for building and distributing development environments”. It works with virtualization software such as VirtualBox to provide a virtual machine sandboxed from your local environment. In addition to VirtualBox, provider support is also included for Parallels, Hyper-V, VMWare Fusion, and VMWare Workstation. -
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CasADi
CasADi is a symbolic framework for numeric optimization
...CasADi's backbone is a symbolic framework implementing forward and reverse modes of AD on expression graphs to construct gradients, large-and-sparse Jacobians, and Hessians. These expression graphs, encapsulated in Function objects, can be evaluated in a virtual machine or exported to stand-alone C code. Initial value problems in ordinary or differential-algebraic equations (ODE/DAE) can be calculated using explicit or implicit Runge-Kutta methods or interfaces to IDAS/CVODES from the SUNDIALS suite. Derivatives are calculated using sensitivity equations, up to arbitrary order. -
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DeepPavlov
A library for deep learning end-to-end dialog systems and chatbots
DeepPavlov makes it easy for beginners and experts to create dialogue systems. The best place to start is with user-friendly tutorials. They provide quick and convenient introduction on how to use DeepPavlov with complete, end-to-end examples. No installation needed. Guides explain the concepts and components of DeepPavlov. Follow step-by-step instructions to install, configure and extend DeepPavlov framework for your use case. DeepPavlov is an open-source framework for chatbots and virtual... -
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mruby
Lightweight Ruby
...It maintains compatibility with modern Ruby syntax while offering a significantly reduced footprint compared to the standard Ruby interpreter. The system includes its own virtual machine, bytecode compiler, and interactive shell, enabling developers to write, compile, and execute Ruby code efficiently. One of its core strengths is its embeddability, allowing developers to integrate scripting capabilities directly into applications written in C or C++. mruby also includes a package system called mrbgems, which enables modular extension of functionality through additional libraries. ... -
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PRML
PRML algorithms implemented in Python
PRML repository is a respected and well-maintained project that implements the foundational algorithms from the famous textbook Pattern Recognition and Machine Learning by Christopher M. Bishop, providing a practical and accessible Python reference for both students and professionals. Rather than just summarizing concepts, the repository includes working code that demonstrates linear regression and classification, kernel methods, neural networks, graphical models, mixture models with EM algorithms, approximate inference, and sequential data methods — all following the book’s structure and notation. ... -
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Nave
Virtual Environments for Node
nave is a lightweight Node.js version manager that treats each Node installation as its own “virtual environment,” including a separate global npm space. You can install specific versions (or tip builds), create named environments, and switch between them with a single command. By default it launches a subshell, so exiting the environment is as simple as exit or Ctrl-D, and you don’t have to modify your shell startup files to get going. -
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Lux
The Lux Programming Language
Lux is a new programming language in the making. It's meant to be a functional, statically-typed Lisp that will run on several platforms, such as the Java Virtual Machine and JavaScript, Python, Lua, or Ruby interpreters. Lux is in the beta stage. The JVM compiler is pretty stable and the standard library has grown to a respectable size. Also, new experimental support for JavaScript, Python, Lua, and Ruby has been added. Read carefully before using this project, as the license disallows commercial use, and has other conditions which may be undesirable for some. ... -
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Amazon Chime SDK for iOS
An iOS client library for integrating multi-party communications
The Amazon Chime SDK for iOS makes it easy to add collaborative audio calling, video calling, and screen share viewing features to iOS applications by using the same infrastructure services that power meetings on the Amazon Chime service. This Amazon Chime SDK for iOS works by connecting to meeting session resources that you have created in your AWS account. The SDK has everything you need to build custom calling and collaboration experiences in your iOS application, including methods to:... -
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Gravity language
Gravity Programming Language
...It is written in portable C code that can be compiled on any platform using a C99 compiler. The VM code is about 4K lines long, the multipass compiler code is about 7K lines and the shared code is about 3K lines long. The compiler and virtual machine combined add less than 200KB to the executable on a 64-bit system. -
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Solidity
The Smart Contract Programming Language
Solidity is a statically-typed curly-braces programming language designed for developing smart contracts that run on Ethereum. Solidity 0.8.4 adds custom structured errors, allows more flexible configuration of the SMTChecker and fixes a bug in the Solidity ABI decoder v2. Read more about the bug here. With v0.8.4, errors can be defined inside and outside of contracts (including interfaces and libraries). This provides a convenient and gas-efficient way to explain to users why an operation... -
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PyQuil
A Python library for quantum programming using Quil
PyQuil is a Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing. PyQuil serves three main functions. PyQuil has a ton of other features, which you can learn more about in the docs. However, you can also keep reading below to get started with running your first quantum program. Without installing anything, you can quickly get started with quantum programming by exploring our interactive Jupyter Notebook tutorials and examples. To...
