Search Results for "delphi runtime code"
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248 projects for "delphi runtime code" with 1 filter applied:
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Android Runtime for NativeScript
NativeScript for Android using v8
...In order to translate JavaScript code to the corresponding native APIs some kind of proxy mechanism is needed. This is exactly what the "Runtime" parts of NativeScript are responsible for. The Android Runtime may be thought of as "The Bridge" between the JavaScript and Android worlds. A NativeScript application for Android is a standard native package (apk) that besides the JavaScript files embeds the runtime as well. -
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OCRunner
Execute Objective-C code as script. AST Interpreter
OCRunner is a dynamic Objective-C runtime that allows for executing Objective-C code at runtime on iOS. It enables injecting and running Objective-C scripts without recompiling, useful for debugging, hot-fixing, and dynamic feature extensions. -
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Apache log4net
Apache Log4net is a versatile, feature-rich, efficient logging API
The Apache log4net library is a tool to help the programmer output log statements to a variety of output targets. log4net is a port of the excellent Apache log4j™ framework to the Microsoft® .NET runtime. We have kept the framework similar in spirit to the original log4j while taking advantage of new features in the .NET runtime. The log4net framework is based on Apache log4j™, The log4net framework, source code, binaries, documentation, examples and related materials are published under the terms of the Apache License. This document is an introduction to the log4net API, its unique features and design rationale. ... -
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The JEDI Code Library (JCL) consists of a set of thoroughly tested and fully documented utility functions and non-visual classes which can be instantly reused in your Delphi and C++ Builder projects.
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ByteHook
ByteHook is an Android PLT hook library
ByteHook is a ByteDance-hosted project whose name suggests a hooking or instrumentation library, likely used for hooking system calls or API calls for monitoring, sandboxing or instrumentation. The repository appears to aim at low-level hooking/injection capabilities, perhaps to support runtime introspection, behavioral monitoring, or hooking-based instrumentation (e.g. for security, tracing, sandboxing, or debugging). Because hooking is a common technique for intercepting library or system... -
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NeoLua
A Lua implementation for the Dynamic Language Runtime (DLR)
A Lua implementation for the Dynamic Language Runtime (DLR). NeoLua is an implementation of the Lua language. Currently, the implementation is on the level of Lua_5.3. The goal is to follow the reference of the C-Lua implementation and combine this with full .NET Framework support. That means it should be easy to call .NET functions from Lua and it should be easy to access variables and functions from a .net language (e.g. C#, VB.NET, ...). -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples.... -
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Electron
Build cross-platform desktop apps with JavaScript, HTML, and CSS
...Initially developed for the Atom editor, Electron is now the framework of choice for dozens of popular desktop apps including Microsoft's Visual Studio Code. -
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CoreNet
CoreNet: A library for training deep neural networks
...It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. Its distributed runtime manages synchronization, load balancing, and mixed-precision computation to maximize throughput while minimizing communication bottlenecks. CoreNet integrates tightly with Apple’s proprietary ML stack and hardware, serving as the foundation for research in computer vision, language models, and multimodal systems within Apple AI. ... -
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Proxy
Proxy: Next Generation Polymorphism in C++
For decades, object-based virtual tables have been a de facto implementation of runtime polymorphism in many (compiled) programming languages. There are many drawbacks in this mechanism, including life management (because each object may have a different size and ownership) and reflection (because it is hard to balance between usability and memory allocation). To workaround these drawbacks, some languages like Java or C# choose to sacrifice performance by introducing GC to facilitate lifetime management, and JIT-compile the source code at runtime to generate full metadata. ... -
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type-challenges
Collection of TypeScript type challenges with online judge
type-challenges is a massive set of TypeScript type-level puzzles that turn the compiler into a playground for metaprogramming. Each challenge is a miniature kata where you implement types that transform other types—parsing strings, inferring tuples, mapping unions—without writing any runtime code. Problems are arranged from warm-ups to brain-twisters, letting developers build intuition about distributive conditional types, inference in extends, variance, and other corner cases of the type system. The repository includes tests for each puzzle so you get immediate, compiler-driven feedback when your solution is correct. ... -
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Membrane Core
The core of Membrane Framework, multimedia processing framework
membrane_core is the foundation of the Membrane multimedia framework for Elixir, providing the abstractions and runtime needed to build real-time audio and video pipelines. It models media processing as a graph of lightweight, supervised OTP processes—elements connected by links—so work is isolated, fault-tolerant, and easy to scale or reconfigure at runtime. The core defines a clear lifecycle and callback API for elements, plus concepts like buffers, events, and capabilities/format negotiation to keep components interoperable and type-safe. ... -
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Matrix
Multi-Agent daTa geneRation Infra and eXperimentation framework
Matrix is a distributed, large-scale engine for multi-agent synthetic data generation and experiments: it provides the infrastructure to run thousands of “agentic” workflows concurrently (e.g. multiple LLMs interacting, reasoning, generating content, data-processing pipelines) by leveraging distributed computing (like Ray + cluster management). The idea is to treat data generation as a “data-to-data” transformation: each input item defines a task, and the runtime orchestrates asynchronous, peer-to-peer agent workflows, avoiding global synchronization bottlenecks. That design makes Matrix particularly well-suited for large-batch inference, model benchmarking, data curation, augmentation, or generation — whether for language, code, dialogue, or multimodal tasks. It supports both open-source LLMs and proprietary models (via integration with model backends), and works with containerized or sandboxed environments for safe tool execution or external code runs. -
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DeepGEMM
Clean and efficient FP8 GEMM kernels with fine-grained scaling
DeepGEMM is a specialized CUDA library for efficient, high-performance general matrix multiplication (GEMM) operations, with particular focus on low-precision formats such as FP8 (and experimental support for BF16). The library is designed to work cleanly and simply, avoiding overly templated or heavily abstracted code, while still delivering performance that rivals expert-tuned libraries. 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. ... -
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Python
The Python programming language
Python is a powerful, high-level programming language known for its readability, simplicity, and versatility. It supports multiple programming paradigms including procedural, object-oriented, and functional styles. CPython, the reference implementation, is developed and maintained by the Python Software Foundation and the global open-source community. The language includes a vast standard library that accelerates development by providing built-in modules for file handling, networking, data... -
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StateView
Inflate loadingView/emptyView/retryView/anyView at runtime
StateView is a lightweight control that inherits from View and absorbs some features of ViewStub. It is invisible in the initial state, does not occupy the layout position, and takes up little memory. The view will not be added to the layout until the view is empty/retry/loaded. -
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royale-asjs
Apache Royale ASJS
Apache Royale is an open-source compiler and framework that converts ActionScript 3 and MXML code into JavaScript, enabling Flash/Flex developers to build modern web apps using familiar tools. It offers cross-compilation, component libraries, and skinning systems while generating lightweight and responsive HTML5 apps. Royale helps migrate legacy Flash projects or build new web UIs with a declarative approach. -
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py2many
Transpiler of Python to many other languages
Python is popular, and easy to program in, but it has poor runtime performance. We can fix that by transpiring a subset of the language into a more performant, statically typed language. A second benefit is security. Writing security-sensitive code in a low-level language like C is error-prone and could lead to privilege escalation. Specialized languages such as wuffs exist to address this use case. py2many can be a more general-purpose solution to the problem where you can verify the source via unit tests before you transpile. ... -
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slua-unreal
lua dev plugin for unreal engine 4 or 5
Slua-unreal is an unreal4 plugin, which allows you to use Lua language to develop game logic and hot fix your code. It gives you 3 ways to wrap your C++ interface to Lua, including reflection by blueprint, C++ template, and static code generation. It also enables two-way communication between Blueprint and Lua. The advantage of Lua over C++ is that it requires no compilation for logic change, which significantly speeds up the game development process. -
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MobileCLIP
Implementation of "MobileCLIP" CVPR 2024
MobileCLIP is a family of efficient image-text embedding models designed for real-time, on-device retrieval and zero-shot classification. The repo provides training, inference, and evaluation code for MobileCLIP models trained on DataCompDR, and for newer MobileCLIP2 models trained on DFNDR. It includes an iOS demo app and Core ML artifacts to showcase practical, offline photo search and classification on iPhone-class hardware. Project notes highlight latency/accuracy trade-offs, with MobileCLIP2 variants matching or surpassing larger baselines at notably lower parameter counts and runtime on mobile devices. ... -
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glbinding
A C++ binding for the OpenGL API, generated using the gl.xml specifica
A C++ binding for the OpenGL API, generated using the gl.xml specification. glbinding leverages C++11 features like enum classes, lambdas, and variadic templates, instead of relying on macros; all OpenGL symbols are real functions and variables. It provides type-safe parameters, per-feature API headers, lazy function resolution, multi-context and multi-thread support, global and local function callbacks, meta information about the generated OpenGL binding and the OpenGL runtime, as well as... -
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GraphQL for Nest framework
GraphQL (TypeScript) module for Nest framework (node.js)
...We provide official integrations for these proven GraphQL packages to provide a simple way to use GraphQL with Nest. Nest offers two ways of building GraphQL applications, the code first and the schema first methods. You should choose the one that works best for you. -
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GraphQL Kotlin
Libraries for running GraphQL in Kotlin
...GraphQL Kotlin is built on top of grahpql-java as it can be easily extended with additional functionality and this implementation has been used and tested by many users. The most common way to create the schema in graphql-java is to first manually write the SDL file. Then write the runtime code that matches this schema to build the GraphQLSchema object. This means that there are two sources of truth for your schema and changes in either have to be reflected in both locations. As your schema scales to hundreds of types and many different resolvers, it can get more difficult to track what code needs to be changed if you want to add a new field, deprecate or delete an existing one, or fix a bug in the resolver code. graphql-kotlin-schema-generator aims to simplify this process by using Kotlin reflection to generate the schema for you. ... -
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Laravel Horizon
Dashboard and code-driven configuration for Laravel queues
Horizon provides a beautiful dashboard and code-driven configuration for your Laravel-powered Redis queues. Horizon allows you to easily monitor key metrics of your queue system such as job throughput, runtime, and job failures. All of your worker configuration is stored in a single, simple configuration file, allowing your configuration to stay in source control where your entire team can collaborate. -
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SnapKit
A Swift Autolayout DSL for iOS & OS X
SnapKit is a Swift DSL that simplifies Auto Layout for iOS and macOS. It uses expressive chaining syntax to create layout constraints in code more cleanly and concisely than native APIs. Compatible with Swift Package Manager, CocoaPods, and Carthage—used extensively in iOS/macOS UI development.
