Search Results for "assembly source code" - Page 39
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6299 projects for "assembly source code" with 1 filter applied:
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Hugging Face Skills
Definitions for AI/ML tasks like dataset creation
Hugging Face Skills is a repository of standardized task definitions that package instructions, scripts, and resources so coding agents can reliably perform AI and machine learning workflows. Each skill is a self-contained folder with structured metadata and guidance that tells an agent how to execute tasks such as dataset creation, model training, evaluation, or Hub operations. The project is designed to be interoperable across major agent ecosystems, including Claude Code, OpenAI Codex,... -
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papermill
Parameterize, execute, and analyze notebooks
papermill is a Python library and command-line tool that transforms Jupyter Notebooks into repeatable, parameterized workflows by allowing users to define editable parameters within notebooks and then programmatically execute them with different inputs. Instead of manually opening and running a notebook inside JupyterLab or Notebook every time, Papermill lets you inject new values into a specially tagged parameters cell and execute the entire notebook automatically via a script or automation... -
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TONL
TONL (Token-Optimized Notation Language)
TONL is a cutting-edge data platform built around a production-ready serialization format designed to be both compact and powerful, combining human readability with performance features that make it suitable for large-scale applications and AI workflows. It provides a serialization format that significantly reduces token usage compared with traditional JSON, which can result in lower costs and more efficient prompt size utilization in LLM-driven systems. TONL isn’t just a format — it... -
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Go Katas
A collection of daily coding challenges
Go Katas is a curated collection of practice exercises and coding challenges specifically crafted to improve proficiency in Go, including idiomatic patterns, language fundamentals, and algorithm design. It mirrors the kata practice tradition from martial arts—repetitive, thoughtful practice where each exercise reinforces technique, discipline, and problem-solving approach. Each kata prompt focuses on a precise aspect of Go, such as concurrency patterns, memory management, interfaces, error... -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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huihut interview
A summary of C/C++ technical interview basics
interview is a curated repository of technical interview questions, solutions, and explanations covering a wide range of topics in computer science and software engineering. It aims to help developers prepare for job interviews by providing sample problems in algorithms, data structures, system design, databases, and programming language intricacies, often with code snippets and discussion. The repo is designed so learners can practice real interview scenarios, compare approaches, and... -
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PHP Map
PHP arrays and collections made easy
Aimeos/Map is a lightweight PHP collection utility that makes working with arrays and array-like data much easier and more expressive by offering a fluent, object-oriented interface inspired by jQuery and Laravel collections. It wraps standard PHP arrays in a “Map” object, letting developers chain powerful methods for creating, transforming, filtering, sorting, and aggregating data without verbose boilerplate code. This approach improves readability and maintainability when dealing with... -
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D4RL
Collection of reference environments, offline reinforcement learning
D4RL (Datasets for Deep Data-Driven Reinforcement Learning) is a benchmark suite focused on offline reinforcement learning — i.e., learning policies from fixed datasets rather than via online interaction with the environment. It contains standardized environments, tasks and datasets (observations, actions, rewards, terminals) aimed at enabling reproducible research in offline RL. Researchers can load a dataset for a given task (e.g., maze navigation, manipulation) and apply their algorithm... -
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Realtime Chat Application
Build and deploy a real time chat application
This full-stack tutorial project shows how to build and deploy a real-time chat app using React on the client and Node/Express with Socket.io on the server. It covers the mechanics of establishing WebSocket connections, broadcasting and receiving messages, and maintaining active user rooms. The repository includes scripts and instructions to spin up both client and server quickly so you can experiment locally. It illustrates common patterns like event-driven messaging, joining/leaving rooms,... -
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Krypt
Build a Web 3.0 React Solidity blockchain application
This repository accompanies a step-by-step tutorial for building a Web3 decentralized application that connects a React front end to Ethereum smart contracts written in Solidity. It walks you through setting up MetaMask, configuring a local or test blockchain, and wiring contract methods to a clean, modern UI. The project emphasizes end-to-end learning: from authoring and compiling a smart contract, to deploying it, and then interacting with it via web3 libraries in React. It demonstrates... -
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TarpC
An RPC framework for Rust with a focus on ease of use
tarpc is an asynchronous RPC framework for Rust that embraces Rust’s type system and futures to generate ergonomic client and server stubs. Services are declared in pure Rust, and procedural macros expand those definitions into request/response types, trait implementations, and strongly typed stubs. The framework is transport-agnostic: it commonly uses Tokio with serde-based codecs, but you can plug in your own framing and serialization. It bakes in RPC concerns such as deadlines,... -
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Google CTF
Google CTF
Google CTF is the public repository that houses most of the challenges from Google’s Capture-the-Flag competitions since 2017 and the infrastructure used to run them. It’s a learning and practice archive: competitors and educators can replay tasks across categories like pwn, reversing, crypto, web, sandboxing, and forensics. The code and binaries intentionally contain vulnerabilities—by design—so users can explore exploit chains and patching in realistic settings. The repo also includes... -
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PPTAgent
PPTAgent: Generating and Evaluating Presentations
PPTAgent is a research system for generating and evaluating slide decks that goes beyond simple text-to-slides. It follows a two-stage, edit-based workflow: first it analyzes reference presentations to infer slide roles and structure, then it drafts an outline and iteratively performs editing actions to produce new slides. The project includes both the generation agent and an evaluation framework, PPTEval, to score content quality, design, and coherence. The repository highlights the EMNLP... -
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Whoops
PHP errors for cool kids
Whoops is a PHP library that improves the debugging experience by handling uncaught exceptions and presenting beautiful error pages. Instead of a cryptic “fatal error,” Whoops catches the exception and renders a detailed stack trace with syntax-highlighted code snippets, variable values, and clickable frames to navigate between calls. It can be integrated into frameworks or standalone scripts so developers consistently get readable, informative pages during development. Beyond error pages,... -
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rspirv
Rust implementation of SPIR-V module processing functionalities
rspirv is a Rust-based parser, builder, and disassembler for SPIR-V, the intermediate binary format used in Vulkan and OpenCL for shaders and compute kernels. It’s part of the gfx-rs ecosystem, a suite of graphics tools aiming to provide cross-platform rendering capabilities in Rust. rspirv enables manipulation and inspection of SPIR-V modules, which is useful in shader compilers, graphics drivers, and development tools for low-level GPU programming. The library strictly follows the SPIR-V... -
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Swift Cross UI
A cross-platform declarative UI framework, inspired by SwiftUI
SwiftCrossUI implements a simple API similar but not identical to SwiftUI, allowing you to use the basic concepts of SwiftUI to create a cross-platform desktop app. SwiftCrossUI is designed to be flexible and can work with different backends, but has a focus on using GTK+ through SwiftGTK. Create cross-platform desktop apps for macOS, Linux and Windows. Work has been started to support multiple different backends. Switching backends only requires changing a single line of code! Currently... -
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lua-resty-openidc
OpenID Connect Relying Party and OAuth 2.0 Resource Server
lua-resty-openidc is a library for NGINX implementing the OpenID Connect Relying Party (RP) and/or the OAuth 2.0 Resource Server (RS) functionality. When used as an OpenID Connect Relying Party it authenticates users against an OpenID Connect Provider using OpenID Connect Discovery and the Basic Client Profile (i.e. the Authorization Code flow). When used as an OAuth 2.0 Resource Server it can validate OAuth 2.0 Bearer Access Tokens against an Authorization Server or, in case a JSON Web... -
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fosite
Extensible security first OAuth 2.0 and OpenID Connect SDK for Go
The security first OAuth2 & OpenID Connect framework for Go. Built simple, powerful, and extensible. This library implements peer-reviewed IETF RFC6749, counterfeits weaknesses covered in peer-reviewed IETF RFC6819 and countermeasures various database attack scenarios, keeping your application safe when that hacker penetrates or leaks your database. OpenID Connect is implemented according to OpenID Connect Core 1.0 incorporating errata set 1 and includes all flows: code, implicit, and... -
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Steampipe
Zero-ETL, infinite possibilities. Live query APIs, code & more
Steampipe is the zero-ETL solution for getting data directly from APIs and services. We offer these Steampipe engines. SQL has been the data access standard for decades. It levels the playing field for your team, easily integrates with other systems, and accelerates delivery. Painlessly join live cloud configuration data with internal or external data sets to create new insights. Your cloud is a live database that changes fast. Don't wait on ETL to sync, or rely on old data. Crunch it where... -
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MyBatis Dynamic SQL
SQL DSL (Domain Specific Language) for Kotlin and Java
This library is a general-purpose SQL generator. Think of it as a typesafe and expressive SQL DSL (domain-specific language), with support for rendering SQL formatted properly for MyBatis3 and Spring's NamedParameterJDBCTemplate. The library also contains extensions for Kotlin that enable an idiomatic Kotlin DSL for SQL. The library will generate full DELETE, INSERT, SELECT, and UPDATE statements. The DSL implemented by the library is very similar to native SQL but it includes many functions... -
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kotlin-logging
Lightweight Multiplatform logging framework for Kotlin
Lightweight Multiplatform logging framework for Kotlin, written in Pure Kotlin. A convenient and performant logging facade. Version 5 is not backward compatible with previous versions (v.3, v.2, v.1). Group id (in maven) and package names changed. It is possible to use both version 5 and previous versions side-by-side so some of the code from the old version and some new. It is also possible to have libs using old version and use the new version (and vice-versa). After seeing many questions... -
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BenchmarkTools.jl
A benchmarking framework for the Julia language
BenchmarkTools makes performance tracking of Julia code easy by supplying a framework for writing and running groups of benchmarks as well as comparing benchmark results. This package is used to write and run the benchmarks found in BaseBenchmarks.jl. The CI infrastructure for automated performance testing of the Julia language is not in this package but can be found in Nanosoldier.jl. Our story begins with two packages, "Benchmarks" and "BenchmarkTrackers". The Benchmarks package... -
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NGX-Translate
The internationalization (i18n) library for Angular
NGX-Translate is an internationalization library for Angular. It lets you define translations for your content in different languages and switch between them easily. It gives you access to a service, a directive and a pipe to handle any dynamic or static content. NGX-Translate is also extremely modular. It is written in a way that makes it really easy to replace any part with a custom implementation in case the existing one doesn't fit your needs. The main part of the library is named core.... -
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mergekit
Tools for merging pretrained large language models
...The library is designed to operate efficiently even in environments with limited hardware resources by using memory-efficient processing methods that can run entirely on CPUs. It also provides configuration-driven workflows that allow users to experiment with different merging strategies without modifying source code. -
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Shadcn UI v4 MCP Server
A mcp server to allow LLMS gain context about shadcn ui component
Shadcn UI v4 MCP Server is a Model Context Protocol server that enables AI assistants to access, retrieve, and utilize shadcn/ui component libraries within development workflows, effectively bridging UI component systems with AI-driven coding tools. It provides structured access to component source code, demos, metadata, and reusable UI blocks, allowing AI agents to generate accurate and production-ready interface implementations. The server supports multiple frontend frameworks including React, Svelte, Vue, and React Native, making it highly versatile for cross-platform development. It includes smart caching and efficient GitHub API usage to optimize performance and handle rate limits during component retrieval. ... -
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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. ...
