Search Results for "vb6 source code" - Page 39

7863 projects for "vb6 source code" with 1 filter applied:

  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini 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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  • 1
    self-llm

    self-llm

    Tutorial tailored for Chinese babies on rapid fine-tuning

    self-llm is an open source educational project created by the Datawhale community that serves as a practical guide for deploying, fine-tuning, and using open-source large language models on Linux systems. The repository focuses on helping beginners and developers understand how to run and customize modern LLMs locally rather than relying solely on hosted APIs. It provides step-by-step tutorials covering environment setup, model deployment, inference workflows, and efficient fine-tuning...
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  • 2
    modern-cpp-features

    modern-cpp-features

    A cheatsheet of modern C++ language and library features

    Modern C++ Features is a reference guide and cheat sheet for major language and standard-library additions introduced in modern C++. It organizes material by language version, covering C++11, C++14, C++17, C++20, and C++23. Each section separates core language features from library features for easier scanning. Topics range from lambdas, constexpr, structured bindings, and concepts to coroutines, optional, filesystem, expected, and stack traces. Individual entries explain what a feature does...
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  • 3
    Skitter Creek Bath Salts

    Skitter Creek Bath Salts

    Unlocking _everything_ on the CPU with DRAM scrambling

    Skitter Creek Bath Salts is a security research project exploring how low-level DRAM address translation affects processor security boundaries. It demonstrates that changing memory-controller translation behavior can expose physical memory regions normally hidden from the operating system. The research targets AMD Family 16h processors, whose documentation describes relevant DRAM translation registers. Its examples examine protected areas associated with the Platform Security Processor,...
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  • 4
    Termimad

    Termimad

    A library to display rich (Markdown) snippets and texts

    Termimad is a Rust library for displaying styled Markdown-inspired content inside command-line and terminal user interfaces. It separates textual structure and data from visual skins so applications can customize presentation cleanly. Supported formatting includes headings, emphasis, code, lists, quotes, tables, horizontal rules, and multiline text. The library handles wrapping, scrolling, table balancing, Unicode, and wide terminal characters. Developers can create reusable skins...
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  • Cut Data Warehouse Costs by 54% Icon
    Cut Data Warehouse Costs by 54%

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  • 5
    Precedent

    Precedent

    An opinionated collection of components, hooks, and utilities

    Precedent is an opinionated Next.js starter template that packages reusable components, hooks, utilities, and production-minded defaults. It provides a prepared foundation for teams that want to begin building an application without assembling every frontend dependency manually. The template combines Next.js and TypeScript with Tailwind CSS, Radix UI primitives, Framer Motion animations, Lucide icons, and optimized fonts. Clerk integration supplies ready-made user management and...
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  • 6
    DevOps Roadmap 2026

    DevOps Roadmap 2026

    DevOps Roadmap for 2026. with learning resources

    DevOps Roadmap is a structured 2026 learning guide for people preparing for DevOps engineering roles. It presents the field as a sequence of practical competencies rather than a list of fashionable products. The path begins with Git, a programming language, Linux, scripting, networking, security, and server administration. It then advances through containers, Kubernetes, infrastructure as code, CI/CD, monitoring, observability, cloud platforms, and software engineering practices. A bonus...
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  • 7
    jlens

    jlens

    Companion code for the global workspace interpretability paper

    Jacobian Lens is Anthropic’s reference implementation for examining what a language model’s internal activations are inclined to produce as text. It transports residual-stream vectors from selected layers and positions into the final-layer basis using an averaged input-output Jacobian. The transformed vectors are decoded through the model’s own unembedding into ranked vocabulary predictions. The package can fit new lenses, load saved ones, apply them to prompts, and merge results from...
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  • 8
    LingBot-Video

    LingBot-Video

    Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence

    LingBot-Video is a large-scale mixture-of-experts video generation model focused on embodied intelligence. It is designed to connect video synthesis with physical-world understanding instead of generating only visually appealing clips. The project includes dense and MoE model variants for text-to-image, text-to-video, and text-image-to-video workflows. Its training combines large-scale web video data with more than 70,000 hours of embodied data. A multi-reward system emphasizes aesthetics,...
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  • 9
    gpt-llm-trainer

    gpt-llm-trainer

    Experimental notebook pipeline for creating language models

    gpt-llm-trainer is an experimental notebook pipeline for creating task-specific fine-tuned language models from a plain task description. It reduces the work normally required to collect examples, format a dataset, split training and validation data, and run fine-tuning code. The system can generate prompts and responses with larger models, then prepare that synthetic dataset for model training. It includes workflows for LLaMA 2 7B, GPT-3.5 fine-tuning, and a Claude-to-LLaMA training...
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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • 10
    Upscale-A-Video

    Upscale-A-Video

    Temporal-Consistent Diffusion Model for Real-World Video

    Upscale-A-Video is a diffusion-based video super-resolution project from the CVPR 2024 Highlight paper “Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution.” It upscales low-resolution videos while using text prompts to guide the enhancement process. The model is designed for real-world videos where compression artifacts, blur, aging, or generated-video defects can make ordinary upscaling less reliable. The repository includes inference code, example inputs,...
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  • 11
    k8s_PaaS

    k8s_PaaS

    How to deploy to PaaS/DevOps

    k8s_PaaS is a hands-on Chinese tutorial project for building a complete PaaS and DevOps platform on top of Kubernetes. It teaches users how to deploy and connect core infrastructure components such as Kubernetes, Dashboard, Harbor, Jenkins, local GitLab, Apollo, Prometheus, Grafana, Spinnaker, Zookeeper, etcd, and related services. The repository is structured as a practical learning path with real deployment code, architecture design notes, operational screenshots, and extensive comments....
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  • 12
    Skills for coding agents

    Skills for coding agents

    Skills for coding agents

    BuilderIO Skills is a collection of small, composable skills for coding agents. It is made for teams that want agents to perform better in planning, review, orchestration, validation, documentation discipline, and clear communication. Instead of acting like a heavy process framework, it lets teams install only the skills they need and adapt them to their project. The catalog includes tools for visual planning, visual PR recaps, agent audits, plan comparison, autonomous execution, model...
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  • 13
    MoonZoon

    MoonZoon

    Rust Fullstack Framework

    MoonZoon is a full-stack Rust web framework that enables developers to build reactive web applications using a unified Rust codebase for both frontend and backend logic. It is built around a reactive programming model where UI updates are automatically triggered by changes in application state, reducing the need for manual DOM manipulation or complex state management patterns. The framework leverages WebAssembly for the frontend, allowing Rust code to run directly in the browser while...
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  • 14
    Pretext

    Pretext

    Pure JavaScript/TypeScript library for multiline text measurement

    Pretext is an experimental project that explores new ways of structuring and presenting textual or code-based content, with a strong emphasis on clarity, composability, and developer-oriented workflows. It is designed to rethink how text and structured information are authored, processed, and rendered, often focusing on minimal abstractions and highly readable formats. The project reflects a philosophy of reducing unnecessary complexity while still enabling powerful transformations and reuse...
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  • 15
    Toaster Frame

    Toaster Frame

    Android toast frame, dedicated to treating various difficult problems

    Toaster is a lightweight Android utility library that enhances and standardizes toast message behavior across different devices and OS versions. The project addresses inconsistencies in native Android toast implementations by providing a more reliable and customizable messaging experience. It focuses on ensuring that toast notifications display correctly even on heavily customized Android skins. The library is designed for easy integration, allowing developers to replace default toast usage...
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  • 16
    Flask-Migrate

    Flask-Migrate

    SQLAlchemy database migrations for Flask applications using Alembic

    Flask-Migrate is a Flask extension that integrates SQLAlchemy database migrations into Flask applications by leveraging Alembic, making schema changes easier and safer across development and deployment environments. It provides a set of command-line routines tied into Flask’s CLI such that developers can generate migration scripts, apply upgrades, and roll back changes with simple commands, keeping the database structure in sync with evolving application models. The extension handles...
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  • 17
    Gemma in PyTorch

    Gemma in PyTorch

    The official PyTorch implementation of Google's Gemma models

    gemma_pytorch provides the official PyTorch reference for running and fine-tuning Google’s Gemma family of open models. It includes model definitions, configuration files, and loading utilities for multiple parameter scales, enabling quick evaluation and downstream adaptation. The repository demonstrates text generation pipelines, tokenizer setup, quantization paths, and adapters for low-rank or parameter-efficient fine-tuning. Example notebooks walk through instruction tuning and evaluation...
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  • 18
    Practical ASP.NET Core

    Practical ASP.NET Core

    Practical samples of ASP.NET Core 10 RC

    practical-aspnetcore is a repository containing hundreds of sample projects, micro-applications, and code snippets across multiple versions of .NET Core (including 2.1, 3.1, 5.0, 6.0, 7.0, 8.0, 9.0, 10 RC) to illustrate real-world patterns, advanced topics, and features in .NET Core development. It is intended as a hands-on learning resource for building web APIs, middleware, authentication, real-time, microservices, etc.
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  • 19
    Integrant

    Integrant

    Micro-framework for data-driven architecture

    Integrant is a minimalistic micro-framework for building applications following a data-driven architecture. It lets you define system components declaratively as configuration data and handles lifecycle actions (init, halt, resume) in dependency order, serving as a modern alternative to Component or Mount. Integrant was built as a reaction to fix some perceived weaknesses with Component. In Component, systems are created programmatically. Constructor functions are used to build records,...
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  • 20
    Reagent

    Reagent

    A minimalistic ClojureScript interface to React.js

    Reagent is a minimalistic ClojureScript interface to React that enables developers to write efficient React components using plain ClojureScript functions and data, leveraging a Hiccup-like syntax and immutable state to simplify UI creation. React is pretty darn fast, and so is Reagent. It should even be faster than plain old javascript React a lot of the time, since ClojureScript allows us to skip a lot of unnecessary rendering (through judicious use of React's shouldComponentUpdate). The...
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  • 21
    Sakura Boot

    Sakura Boot

    Framework on top of spring-boot that helps create back-ends

    This framework, built on top of Spring Boot, is designed to speed up the development of robust backends. It ensures adherence to best practices while allowing a high degree of customization. The framework is structured using a modular architecture, making it easy to add or remove features based on the project’s specific needs. While Spring Boot speeds up the development process, developers still require extensive knowledge, must ensure adherence to best practices, and often write repetitive...
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  • 22
    Lightweight ring buffer manager

    Lightweight ring buffer manager

    Lightweight generic ring buffer manager library

    The library provides generic FIFO ring buffer implementation.
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  • 23
    MiniMind-O

    MiniMind-O

    A 0.1B Omni model trained from scratch

    MiniMind-O is an educational open-source project for building a small end-to-end Omni model from scratch. It extends the MiniMind family by exploring a model that can handle text, audio, and image inputs while producing text and streaming speech outputs. The project is designed to make multimodal AI training more accessible by keeping the model size small enough for ordinary personal hardware.
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  • 24
    Context Hub

    Context Hub

    Makes coding agents get smarter with every task

    ...Feedback can be sent back to maintainers so shared documentation improves over time. Context Hub is especially useful for teams that use AI coding assistants and want more reliable API usage, fewer hallucinated calls, and a transparent source of agent-readable context.
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  • 25
    SimpleHTR

    SimpleHTR

    Handwritten Text Recognition (HTR) system implemented with TensorFlow

    SimpleHTR is an open-source implementation of a handwriting text recognition system based on deep learning techniques. The project focuses on converting images of handwritten text into machine-readable digital text using neural networks. The system uses a combination of convolutional neural networks and recurrent neural networks to extract visual features and model sequential character patterns in handwriting.
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