Search Results for "instruction set randomization"
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Showing 134 open source projects for "instruction set randomization"
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riscv-isa-manual
RISC-V Instruction Set Manual
This repository contains the source files for the official RISC‑V Instruction Set Manual, including the Privileged RISC‑V Manual in LaTeX and the Unprivileged Manual in AsciiDoc. It tracks formal ratified versions of the ISA maintained by RISC‑V International and hosts build workflows for releasing updated ISA documents. -
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Google Highway
Performance-portable, length-agnostic SIMD with runtime dispatch
...Highway enables the same source code to run across different platforms and instruction sets, including architectures with scalable vector lengths, which are not known at compile time. This portability is achieved through dynamic or static dispatch mechanisms that select the best available instruction set at runtime or compile time. The library is designed for developers who need to maximize CPU performance in domains such as image processing, compression, cryptography, and scientific computing. -
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ChrysaLisp
Parallel OS, with GUI, Terminal, OO Assembler, Class libraries
...It supports MacOS, Windows, and Linux for x64, Riscv64, and Arm64 and eventually will move to bare metal. It also allows the modeling of various network topologies and the use of ChrysaLib hub nodes to join heterogeneous host networks. It has a virtual CPU instruction set and a powerful object and class system for the assembler and high-level languages. It has function-level dynamic binding and loading and a command terminal with a familiar interface for pipe-style command line applications. A Common Lisp-like interpreter is also provided. -
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MedicalGPT
MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training
MedicalGPT training medical GPT model with ChatGPT training pipeline, implementation of Pretraining, Supervised Finetuning, Reward Modeling and Reinforcement Learning. MedicalGPT trains large medical models, including secondary pre-training, supervised fine-tuning, reward modeling, and reinforcement learning training. -
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LGAlertView
Customizable implementation of UIAlertViewController, UIAlertView
...Carthage is a lightweight dependency manager for Swift and Objective-C. It leverages CocoaTouch modules and is less invasive than CocoaPods. To install with carthage, follow the instruction on Carthage. Instead of change properties for every new alert view, you can use appearance to set them all only once and new alert views will use it by default. When you use blocks and if you need to use self inside it, then you need to make weak reference to self to avoid retain cycle. -
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aws-prototyping-sdk
Contains useful CDK and Projen constructs vended in multiple languages
AWS Prototyping SDK (PDK) is a package that contains useful CDK and Projen constructs. This package is built using projen and nx. Any change to projects/* or .projenrc.ts requires a synth to be executed. The PDK contains a set of useful CDK and Projen constructs, vended in multiple languages. For packages marked experimental, please refer to the usage instruction contained within the respective package documentation. -
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CPU Features
A cross platform C99 library to get cpu features at runtime
cpu_features is a cross-platform C library developed by Google that provides a simple and efficient way to detect available CPU features at runtime across a wide range of architectures and operating systems. It enables applications to determine which instruction sets (such as SSE, AVX, or NEON) are supported on the host machine, allowing developers to optimize performance dynamically. The library supports numerous architectures—including x86, ARM, AArch64, MIPS, POWER, RISCV, LoongArch, and... -
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shadowhook
Android inline hook library which supports thumb, arm32 and arm64
shadowhook is an open-source native code hooking library for Android — designed to let developers intercept and override native (C/C++) functions inside Android apps at runtime. It supports both ARM32 and ARM64 architectures (and the respective “thumb” instruction set) and works across a wide range of Android OS versions. The library allows you to specify hook targets either by function address or by library name + function name, and it automatically handles newly loaded shared libraries (ELFs), ensuring hooks remain effective even when code is dynamically loaded at runtime. ShadowHook strives to be stable and safe for production use: it automatically avoids circular-call recursion between original and proxy functions, and supports unwind/unwind-safe proxy functions (CFI/FP unwind) so that backtraces, debugging, and stack unwinding remain correct. ... -
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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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Habitat-Lab
A modular high-level library to train embodied AI agents
...It is designed to train agents to perform a wide variety of embodied AI tasks in indoor environments, as well as develop agents that can interact with humans in performing these tasks. Allowing users to train agents in a wide variety of single and multi-agent tasks (e.g. navigation, rearrangement, instruction following, question answering, human following), as well as define novel tasks. Configuring and instantiating a diverse set of embodied agents, including commercial robots and humanoids, specifying their sensors and capabilities. Providing algorithms for single and multi-agent training (via imitation or reinforcement learning, or no learning at all as in SensePlanAct pipelines), as well as tools to benchmark their performance on the defined tasks using standard metrics. -
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Z80-μLM
Z80-μLM is a 2-bit quantized language model
...The project sits at the intersection of machine learning and systems constraints, showing how model architecture, quantization, and inference code generation can be adapted to extreme memory and compute limits. It also functions as an educational reference for how to reduce inference to operations that fit an old-school instruction set and runtime environment. -
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PyQuil
A Python library for quantum programming using Quil
...To run them in a preconfigured execution environment on Binder, click the "launch binder" badge at the top of the README or the link here! To learn more about the tutorials and how you can add your own, visit the rigetti/forest-tutorials repository. If you'd rather set everything up locally, or are interested in contributing to pyQuil, continue to the next section for instructions on installing pyQuil and the Forest SDK. -
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Skills For Real Engineers
Skills for Real Engineers. Straight from my .claude directory
Skills For Real Engineers is a curated collection of modular AI “skills” designed to improve how developers interact with coding agents by enforcing structured engineering workflows. Each skill is a small, focused instruction set that guides an AI through tasks such as planning, refactoring, testing, or architectural analysis. Instead of relying on vague prompts, the system encodes repeatable processes that ensure consistent and higher-quality outputs. The repository includes tools for converting conversations into product requirements, breaking plans into actionable issues, and stress-testing ideas through structured questioning. ... -
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Wondel.ai Skills
Agent skills for Claude Code and other agentskills-compatible agents
Wondel.ai Skills is a repository that provides modular capability packages for AI agents, particularly those operating within Claude Code and similar ecosystems. Each skill represents a structured set of instructions, workflows, and tools that enable agents to perform specific tasks with expertise. These skills can cover a wide range of domains, including development, automation, and problem-solving, allowing agents to extend their capabilities dynamically. The system emphasizes modularity,... -
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R3nzSkin
Skin changer for League of Legends (LOL)
R3nzSkin is an internal skin changer for League of Legends. Change the skin of your champion, your ward, other champions, towers, minions, and jungle monsters in the game. If your CPU supports the AVX / AVX2 / AVX-512 instruction set, you can enable it in project settings. This should result in more performant code, optimized for your CPU. Currently, SSE2 instructions are selected in project settings. Change skins anytime and unlimited times in a single game. Supports all popular languages in the world. -
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RVVM
The RISC-V Virtual Machine
RVVM is a high-performance virtual machine and emulator designed for running RISC-V operating systems and applications on non-native hardware, with a strong emphasis on portability, security, and efficiency. It implements a fully spec-compliant RISC-V architecture, supporting modern instruction sets and extensions while maintaining a lean and modular codebase. One of its most notable features is its tracing JIT compiler, which enables significantly faster execution compared to traditional... -
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Linux Studio Plugins Project
Linux Studio Plugins Project
LSP (Linux Studio Plugins) is a collection of open-source plugins currently compatible with LADSPA, LV2 and LinuxVST formats. Standalone plugins for JACK are provided since version 1.0.8. Experimental support of ARMv7 added since version 1.1.4 Experimental support of AArch64 added since version 1.1.9 Decomposition of modules and new UI introduced in 1.2.0 Added CLAP support in 1.2.5 Added VST3 support in 1.2.15 The basic idea is to fill the lack of good and useful plugins under the... -
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Statistical Rethinking 2024
This course teaches data analysis
...The 2024 repo also highlights the transition toward more robust Stan models and integration with newer Bayesian workflow practices, continuing to emphasize accessibility for learners while modernizing the tools. This version is designed for students following the 2024 lecture series, offering the most current set of examples, exercises, and teaching material aligned with the Statistical Rethinking framework. Online, flipped instruction. I will pre-record the lectures each week. We'll meet online once a week for an hour to discuss the material. The discussion time (3-4pm Berlin Time) should allow people in the Americas to join in their morning. -
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Eva AI
Eva is an A.I. assistant that helps users multi-task.
...It also has the purpose of helping people with disabilities use the computer with a greater ease. Eva can open and close system related and non-system related applications, search content on web applications, set timers, and take screenshots. Tell Eva "Listen" or "Hey listen" followed by a command. For more instructions, check the instruction manual included in the application. [Update] * 🆕 Removed paged memory cleanup * 🆕 Re-added physical model switch-up * 🆕 Added automatic microphone audio level maximisation * 🆕 Re-calibrated the * 🐞 Re-added the wake word engine reset mechanism * 🐞 Fixed UI related issues regarding threading * 🐞 Fixed thread synchronisation bugs -
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# Digital Visual Computer (DVC) The Digital Visual Computer (DVC) is an experimental computing platform where programs and data are represented visually as images. This project contains the specifications, tools, and examples for the DVC ecosystem. ## Introduction DVC explores the concept of screen-to-screen computation. Instead of text-based code, DVC uses a "color language" where sequences of colors represent instructions (opcodes) and data. The state of the computer's memory is...
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ooRexx Debugger
A cross platform dialog based ooRexx debugger
A GUI debugger for ooRexx programs that can be run on Windows with ooRexx 4.2 or later and on other platforms with ooRexx 5.0 or later where Java with Swing/AWT has been installed along with bsf4oorexx. Please see the README.md file in the Code tab or latest release for much more detailed usage and setup information . -
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Zilog Z80
Z80 shared library including some nice test-projects
...Simulates all pins of the Z80-Chip in a single function interface. Additionally are some Test-Projects added. 1. CP/M 2.2 emulator connectable by an telnet client. 2. An instruction set examiner. 3. An ZX-80 emulator. 4. An TK-80 emulator 5. An Z80 Dis-assembler driver for all supported instructions. -
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LPub3D
LDraw™ editor for LEGO® style digital building instructions.
LPub3D is an Open Source WYSIWYG editing application for creating LEGO® style digital building instructions. LPub3D is developed and maintained by Trevor SANDY. It uses the LDraw™ parts library, the most comprehensive library of digital Open Source LEGO® bricks available (www.ldraw.org/ ) and reads the LDraw LDR and MPD model file formats. LPub3D is available for free under the GNU Public License v3 and runs on Windows, Linux and macOS Operating Systems. LPub3D is also... -
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Quiz/Survey/Test - QST
A Free, complete, open source universal assessment/exam platform
QST, the worlds unparalleled open source, multi-tenant, online/lan assessment software. From a quick quiz on your phone to very large scale, high stakes, proctored desktop testing, we make it easy/secure/economical. Our intuitive design contains features (Immediate detailed results, Create/Export/Import/Convert Questions, WYSIWYG/Math-Chemistry/Basic Editors, Question/Item Bank, Multiple Question Types, Multiple Delivery Styles, Multiple Delivery/Results Options, Adaptive/Branching... -
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Jingo
This package provides the ability to encode golang structs
...This goes a long way to helping make jingo fast by reducing its allocations and ensuring good write speeds. When you create an instance of an encoder it recursively generates an instruction set that defines how to iteratively encode your structs. This gives it the ability to provide a clear API but with the same benefits as a build-time optimized encoder. It's almost exclusively able to do all types of assertions and reflection activity during the compile, then makes ample use of the unsafe package during the instruction-set execution (the Marshal call) to make reading and writing very fast.
