Search Results for "delphi source code" - Page 55
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8161 projects for "delphi source code" with 1 filter applied:
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gopkg
Example for the go pkg's function
gopkg is a large community-driven repository of examples for Go’s standard library packages, created to fill the gap left by the relatively sparse official examples. The project organizes content so that each package has its own directory and each function within that package gets its own Markdown file with code examples. The idea is that developers can quickly look up “how do I actually use this function?” without digging through source code or scattered blog posts. The maintainer provides conventions for naming and formatting, and requires that submitted examples compile and run locally or on the Go Playground, which helps keep the collection reliable. ... -
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COOK
Software build-automation tool written in Common Lisp
COOK is a software build-automation tool made with a goal of letting you, the programmer, to utilize the most elegant and powerful programming language - Common Lisp - for managing your software builds. You write a recipe file which describes what objectives must be constructed. COOK will load and process this file, then produce either a regular Makefile or a Bourne Shell script, which will actually perform the task of building and installing your targets. -
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GitGot
Semi-automated tool for discovering exposed secrets in GitHub data
GitGot is an open source security tool designed to help users quickly search large amounts of public data on GitHub to identify potentially exposed secrets. It operates as a semi-automated, feedback-driven system that combines automated search capabilities with human guidance to refine results during investigation. GitGot leverages the GitHub Search API to perform queries across repositories, files, and gists, allowing security researchers and penetration testers to discover sensitive information that may have been unintentionally exposed in public code. ... -
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GrainSizeTools script
A Python script for estimating the grain size from thin sections
...The script requires as the input the areas of the grain profiles measured grain-by-grain on planar sections and does not require previous experience with Python programming language (see documentation below and FAQ). For users with coding skills, the script is organized in a modular way facilitating the reuse and code extension. Lopez-Sanchez, MA (2018). GrainSizeTools: a Python script for grain size analysis and paleopiezometry based on grain size. Journal of Open Source Software, 3(30), 863, https://doi.org/10.21105/joss.00863 -
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BinaryPHP is a PHP To C++ converter which will convert PHP scripts into C++ equivalents ready to be compiled using any ANSI compiler.
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GtkAda contributions
Contributions to Ada bindings to GTK+
The library is a contribution to GtkAda, an Ada bindings to GTK+ toolkit. It deals with the following issues: tasking support; custom models for tree view widget; custom cell renderers for tree view widget; multi-columned derived model; an extension derived model (to add columns to an existing model); an abstract caching model for directory-like data; tree view and list view widgets for navigational browsing of abstract caching models; file system navigation widgets with wildcard filtering;... -
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Neural Networks: Zero to Hero
A course on neural networks that starts all the way at the basics
Neural Networks: Zero to Hero is Andrej Karpathy’s educational course repository for learning neural networks from the ground up. It accompanies a series of video lectures where learners code and train neural networks step by step. The project starts from basic concepts and gradually builds toward more capable character-level language models. Its notebooks are written to make the mechanics visible, so learners can understand gradients, backpropagation, embeddings, multilayer perceptrons,... -
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JavaScript Questions
A long list of (advanced) JavaScript questions, and their explanations
This repo is a popular collection of JavaScript questions with detailed, approachable explanations that help you understand why the language behaves the way it does. It covers tricky corners—hoisting, closures, coercion, event loop, prototypes, this binding, async/await, and more—through short prompts followed by illuminating answers. Explanations often include runnable snippets and step-through reasoning so you can replicate results locally. The content is curated to sharpen mental models... -
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Vampyre Imaging Library
Image library for Object Pascal.
Imaging is native Object Pascal (Delphi and FPC) image loading, saving and manipulation library. It is available for several platforms and does not require any third party dynamic libraries. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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ToRA
Tool-integrated Reasoning LLM Agents
ToRA is an open-source framework developed by Microsoft for building tool-integrated reasoning agents powered by large language models. The project focuses on improving the ability of AI systems to solve complex mathematical and analytical problems by combining natural language reasoning with external computational tools. Instead of relying solely on text generation, the system dynamically invokes tools such as symbolic solvers or programming libraries when deeper computation is required. ... -
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Automated Interpretability
Code for Language models can explain neurons in language models paper
The automated-interpretability repository implements tools and pipelines for automatically generating, simulating, and scoring explanations of neuron (or latent feature) behavior in neural networks. Instead of relying purely on manual, ad hoc interpretability probing, this repo aims to scale interpretability by using algorithmic methods that produce candidate explanations and assess their quality. It includes a “neuron explainer” component that, given a target neuron or latent feature,... -
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JazzTeamEdu project contains Java educational sources provided by JazzTeam Open Source company. These sources are examples of usage of classes, investigations related to popular frameworks which are not formed as separate project yet.
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dude uncomplicated data extraction
dude uncomplicated data extraction: A simple framework
Dude is a very simple framework for writing web scrapers using Python decorators. The design, inspired by Flask, was to easily build a web scraper in just a few lines of code. Dude has an easy-to-learn syntax. Dude is currently in Pre-Alpha. Please expect breaking changes. You can run your scraper from terminal/shell/command-line by supplying URLs, the output filename of your choice and the paths to your python scripts to dude scrape command. -
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DeepSeek LLM
DeepSeek LLM: Let there be answers
The DeepSeek-LLM repository hosts the code, model files, evaluations, and documentation for DeepSeek’s LLM series (notably the 67B Chat variant). Its tagline is “Let there be answers.” The repo includes an “evaluation” folder (with results like math benchmark scores) and code artifacts (e.g. pre-commit config) that support model development and deployment. According to the evaluation files, DeepSeek LLM 67B Chat achieves strong performance on math benchmarks under both chain-of-thought (CoT)... -
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BlockHook
Hook Objective-C blocks. A powerful AOP tool
BlockHook is an Objective-C library that enables hooking into the execution of blocks (closures). It allows developers to intercept, modify, and monitor block invocations for debugging, analytics, or altering app behavior. -
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iced
Blazing fast and correct x86/x64 disassembler, assembler, decoder, etc
iced is a powerful and feature-rich disassembly and assembly library for x86 and x64 architectures, designed to provide accurate decoding, encoding, and formatting of machine instructions. It supports multiple programming languages, including C#, Rust, and Python, making it accessible to a wide range of developers. The library offers both disassembly and assembly capabilities, allowing users to convert between machine code and human-readable instructions in both directions. It includes... -
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GPT-2
Code for the paper Language Models are Unsupervised Multitask Learners
This repository contains the code and model weights for GPT-2, a large-scale unsupervised language model described in the OpenAI paper “Language Models are Unsupervised Multitask Learners.” The intent is to provide a starting point for researchers and engineers to experiment with GPT-2: generate text, fine‐tune on custom datasets, explore model behavior, or study its internal phenomena. The repository includes scripts for sampling, training, downloading pre-trained models, and utilities for... -
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MGIE
Guiding Instruction-based Image Editing via Multimodal Large Language
MGIE—Guiding Instruction-based Image Editing—demonstrates how a multimodal LLM can parse natural-language editing instructions and then drive image transformations accordingly. The project focuses on making edits explainable and controllable: the model interprets text guidance, reasons over image content, and outputs edits aligned with user intent. It’s positioned as an ICLR 2024 Spotlight work, with code and references that show how to connect language planning to concrete image operations.... -
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Plugins Quickstart
Get a ChatGPT plugin up and running in under 5 minutes
plugins-quickstart is a starter project created by OpenAI to help developers build and deploy ChatGPT plugins quickly. It provides a minimal but complete example of how to structure a plugin, implement an API, and define the necessary configuration files. The repository demonstrates how a plugin can be served, authenticated, and integrated with ChatGPT for real-world use. By including both the backend code and plugin manifest, it guides developers through the end-to-end development workflow.... -
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Apache Allura
Forge software for hosting software projects
Apache Allura's website and resources are all at https://allura.apache.org/ Allura was originally developed here, which is why this project exists. -
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Geographical Adventures
Geography game about delivering packages
Geographical Adventures is a collection of projects and experiments focused on procedural generation and geographic simulation, showcasing how complex environments can be created through code. It includes implementations of terrain generation, map systems, and spatial algorithms that simulate real-world geographical features. The project is designed as both a learning resource and a demonstration of procedural techniques, allowing users to explore how landscapes and environments can be... -
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RDD! USB HID Report Descriptor Decoder
Create C structures from USB HID Report Descriptors
This will read a USB Human Interface Device (HID) report descriptor from the specified input file then attempt to decode it and, optionally, create a C language header file from it. It also does some minimal sanity checks to verify that the report descriptor is valid. The input file can be a binary file or a text file (for example, an existing C header file). If it is a text file, it will concatenate all the printable-hex-like text that it finds on each line (until the first non-hex... -
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Visual Studio Code client for Tabnine
Visual Studio Code client for Tabnine
This extension is for Tabnine’s Starter (free), Pro and Enterprise SaaS users only. Tabnine Enterprise users with the self-hosted setup should use the Tabnine Enterprise extension in the VSCode Marketplace. Tabnine is an AI code assistant that makes you a better developer. Tabnine will increase your development velocity with real-time code completions, chat, and code generation in all the most popular coding languages and IDEs. Whether you call it IntelliSense, intelliCode, autocomplete,... -
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gokv
Simple key-value store abstraction and implementations for Go
Simple key-value store abstraction and implementations for Go. Redis, Consul, etcd, bbolt, BadgerDB, LevelDB, Memcached, DynamoDB, S3, PostgreSQL, MongoDB, CockroachDB, and many more. There are detailed descriptions of the methods in the docs and in the code. You should read them if you plan to write your own gokv.Store implementation or if you create a Go package with a method that takes a gokv.Store as a parameter, so you know exactly what happens in the background. -
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Deep Learning Models
A collection of various deep learning architectures, models, and tips
This repository collects clear, well-documented implementations of deep learning models and training utilities written by Sebastian Raschka. The code favors readability and pedagogy: components are organized so you can trace data flow through layers, losses, optimizers, and evaluation. Examples span fundamental architectures—MLPs, CNNs, RNN/Transformers—and practical tasks like image classification or text modeling. Reproducible training scripts and configuration files make it...
