Search Results for "high level assembler"
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405 projects for "high level assembler" with 1 filter applied:
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ChrysaLisp
Parallel OS, with GUI, Terminal, OO Assembler, Class libraries
...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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AsmJit
Low-latency machine code generation
...It is commonly used in applications such as emulators, compilers, and high-performance computing systems where runtime optimization is essential. asmjit emphasizes low latency and efficiency, ensuring that generated code executes quickly without significant overhead. Its modular design allows developers to integrate it into various systems with minimal friction. Overall, asmjit bridges the gap between high-level programming and low-level execution by enabling efficient runtime code generation. -
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Inspektor Gadget
The eBPF tool and systems inspection framework for Kubernetes
...It manages the packaging, deployment, and execution of eBPF programs in a Kubernetes cluster, including many based on BCC tools, as well as some developed specifically for use in Inspektor Gadget. It automatically maps low-level kernel primitives to high-level Kubernetes resources, making it easier and quicker to find the relevant information. -
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PHP RdKafka
Production-ready, stable Kafka client for PHP
php-rdkafka is a PHP extension that provides a binding to librdkafka, the C library for Apache Kafka. It enables PHP applications to produce and consume messages efficiently from Kafka topics, supporting both low-level and high-level APIs. The extension is ideal for integrating Kafka into high-performance, real-time systems built with PHP. -
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tlaplus
TLC is an explicit state model checker for specifications in TLA+
TLC is an explicit state model checker for specifications written in TLA+. The TLA+Toolbox is an IDE for TLA+. TLA+ is a high-level language for modeling programs and systems--especially concurrent and distributed ones. It's based on the idea that the best way to describe things precisely is with simple mathematics. TLA+ and its tools are useful for eliminating fundamental design errors, which are hard to find and expensive to correct in code. -
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AssemblyScript
A TypeScript-like language for WebAssembly
...Its design bridges the gap between high-level scripting and low-level execution, allowing developers to achieve near-native performance without switching to languages like C or Rust. AssemblyScript integrates with the WebAssembly ecosystem, enabling seamless interaction with JavaScript through standard APIs. It is widely used in scenarios where performance and portability are essential, such as gaming, data processing, and edge computing. -
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uzu
A high-performance inference engine for AI models
...By utilizing Apple’s unified memory architecture, uzu reduces memory copying overhead and improves inference throughput for local AI workloads. The system includes a simple high-level API that enables developers to run models, create inference sessions, and generate outputs with minimal configuration. -
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GopenPGP V3
A high-level OpenPGP library
GopenPGP V3 is a high-level OpenPGP cryptographic library developed by ProtonMail that provides a user-friendly API for common encryption and signing operations in Go, abstracting the complexity of the underlying OpenPGP standards and golang crypto primitives. This library lets developers perform key generation, message encryption and decryption, digital signing, and signature verification with straightforward functions that hide much of the boilerplate and nuance typically required when working directly with OpenPGP implementations. ... -
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HunyuanVideo-Foley
Multimodal Diffusion with Representation Alignment
...Produces high-quality 48 kHz audio output suitable for professional use. Hybrid architecture combining multimodal transformer blocks and unimodal refinement blocks. Temporal alignment via frame-level synchronization modules (e.g. Synchformer). -
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iText
iText for Java represents the next level of SDKs for developers
iText for Java represents the next level of SDKs for developers who want to take advantage of the benefits PDF can bring. Equipped with a better document engine, high and low-level programming capabilities and the ability to create, edit, and enhance PDF documents, iText can be a boon to nearly every workflow. iText Suite refers to the complete line of products comprising the open-source iText Core PDF library and its add-ons. -
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MongoDB PHP Library
The Official MongoDB PHP library
The MongoDB PHP Library is the official high-level library that lets PHP applications interact with MongoDB using a modern, expressive API. It provides object-oriented classes for databases, collections, queries, and operations, so PHP developers can compose CRUD and aggregation pipelines without writing low-level protocol code. Built on top of the underlying MongoDB PHP extension, the library handles serialization, connection pooling, and error handling in a way that feels natural in idiomatic PHP. ... -
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wllama
WebAssembly binding for llama.cpp - Enabling on-browser LLM inference
...By running models locally on the user’s device, wllama enables privacy-preserving AI applications that do not require sending data to remote servers. The framework provides both high-level APIs for common tasks such as text generation and embeddings, as well as low-level APIs that expose tokenization, sampling controls, and model state management. -
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tiny-llm
A course of learning LLM inference serving on Apple Silicon
...The project is structured as a guided course that walks developers through the process of implementing the core components required to run a modern language model, including attention mechanisms, token generation, and optimization techniques. Rather than relying on high-level machine learning frameworks, the codebase uses mostly low-level array and matrix manipulation APIs so that developers can understand exactly how model inference works internally. The project demonstrates how to load and run models such as Qwen-style architectures while progressively implementing performance improvements like KV caching, request batching, and optimized attention mechanisms. ... -
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Diligent Engine
A modern cross-platform low-level graphics library
Diligent Engine is a modern, cross-platform, low-level graphics library and rendering framework. It abstracts platform-specific graphics APIs like Direct3D, Vulkan, and OpenGL, providing a unified interface for graphics programming. Diligent Engine is designed for high performance and flexibility, making it suitable for a wide range of applications, from games to scientific simulations. -
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Telego
Telegram Bot API library for Go
Telego is Telegram Bot API library for Go with full one-to-one API implementation and much more. Provides fully documented, and easy-to-use API for integration with Telegram Bots, and a lot of utility and helper methods for convenience. If you want to use bare Telegram methods and types as they are, without any helpers and utility methods, check out low-level docs. If you want a more convenient way of interacting with Telegram, but still do not use all the helpers that Telego provides, check... -
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libpqxx
The official C++ client API for PostgreSQL
libpqxx is the official C++ client library for interacting with PostgreSQL, providing a high-level, type-safe API on top of the native libpq library. It allows C++ applications to connect to PostgreSQL databases, execute queries, and handle results with idiomatic C++ syntax. The library is suitable for performance-critical and systems-level applications. -
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XLS
XLS: Accelerated HW Synthesis
...XLS also provides tooling for pipelining, state insertion, and formal equivalence checks between different stages, giving developers confidence as designs evolve. The result is a productive path from high-level specification to real hardware, without giving up control over latency, throughput, and area trade-offs. -
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hls4ml
Machine learning on FPGAs using HLS
hls4ml is an open-source framework that enables machine learning models to be implemented directly on hardware such as FPGAs and ASICs using high-level synthesis techniques. The system converts trained neural network models from common machine learning frameworks into hardware description code suitable for ultra-low-latency inference. This approach allows machine learning algorithms to run directly on specialized hardware, making them suitable for applications that require extremely fast response times and minimal power consumption. ... -
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Watlings
Learn WebAssembly by writing small programs
...It is particularly useful for developers who want to understand how high-level languages compile down to WebAssembly or who are interested in systems-level programming concepts. -
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Groovy Geb
Apache Geb: Very Groovy Browser Automation
...Expressive, concise syntax ideal for functional-style test scripts. Open-source under Apache 2.0, with Apache Groovy community support. jQuery-like selectors for intuitive content targeting. High-level Groovy DSL atop Selenium WebDriver. -
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OuteTTS
Interface for OuteTTS models
OuteTTS is an interface library for running OuteTTS text-to-speech models across a range of backends, making it easier to deploy the same model on different hardware and runtimes. It provides a high-level Interface API that wraps model configuration, speaker handling, and audio generation so you can focus on integrating speech into your application rather than wiring up low-level engines. The project supports multiple backends including llama.cpp (Python bindings and server), Hugging Face Transformers, ExLlamaV2, VLLM and a JavaScript interface via Transformers.js, allowing it to run on CPUs, NVIDIA CUDA GPUs, AMD ROCm, Vulkan-capable GPUs, and Apple Metal. ... -
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NanoBoyAdvance
A cycle-accurate Nintendo Game Boy Advance emulator
NanoBoyAdvance is a cycle-accurate Game Boy Advance emulator that prioritizes precision and correctness in replicating original hardware behavior. It is designed to emulate the GBA at a very low level, including CPU timing, DMA operations, graphics processing, and memory behavior, ensuring that even edge cases and obscure hardware quirks are faithfully reproduced. The emulator achieves extremely high compatibility, passing multiple hardware test suites and accurately running games that rely on precise timing conditions. In addition to accuracy, it introduces enhancements such as a high-quality audio mixer that improves sound output without altering internal emulation behavior. ... -
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Magnitude
Vision AI browser agent for automation, testing, and extraction
...Developers can use it to automate repetitive web tasks, integrate services without APIs, or build advanced browser-based agents. It also provides flexible abstraction levels, allowing both high-level task execution and precise low-level control of actions like mouse movements and keyboard input. -
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tt-metal
TT-NN operator library, and TT-Metalium low level kernel programming
tt-metal, also referred to in its documentation as TT-Metalium, is Tenstorrent’s low-level software development kit for programming applications on Tenstorrent AI accelerators. The project is designed for developers who need direct access to the company’s Tensix processor architecture, exposing a programming model that is closer to hardware control than high-level inference frameworks. Instead of following a traditional GPU model centered on massive thread parallelism, the platform is built around a grid of specialized compute nodes called Tensix cores, each with local SRAM, dedicated compute units, and multiple RISC-V control processors. ... -
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Chitu
High-performance inference framework for large language models
Chitu is a high-performance inference engine designed to deploy and run large language models efficiently in production environments. The framework focuses on improving efficiency, flexibility, and scalability for organizations that need to run LLM inference workloads across different hardware platforms. It supports heterogeneous computing environments, including CPUs, GPUs, and various specialized AI accelerators, allowing models to run across a wide range of infrastructure configurations....
