Showing 2792 open source projects for "c# source code"

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  • 1
    Antigravity Claude Proxy

    Antigravity Claude Proxy

    Proxy that exposes Antigravity provided claude / gemini models

    Antigravity Claude Proxy is a purpose-built proxy server that enables developers to interface with Claude models through a standardized RESTful API, allowing tools and workflows that expect generic HTTP APIs to operate on Anthropic’s Claude without native support. The project acts as a translation layer, receiving web requests in common formats (such as OpenAI-style endpoints) and forwarding them to Anthropic’s API in the required structure, while converting responses back into a familiar...
    Downloads: 4 This Week
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  • 2
    Vision Transformer Pytorch

    Vision Transformer Pytorch

    Implementation of Vision Transformer, a simple way to achieve SOTA

    This repository provides a from-scratch, minimalist implementation of the Vision Transformer (ViT) in PyTorch, focusing on the core architectural pieces needed for image classification. It breaks down the model into patch embedding, positional encoding, multi-head self-attention, feed-forward blocks, and a classification head so you can understand each component in isolation. The code is intentionally compact and modular, which makes it easy to tinker with hyperparameters, depth, width, and...
    Downloads: 4 This Week
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  • 3
    gstack

    gstack

    Use Garry Tan's exact Claude Code setup: 15 opinionated tools

    gstack is an opinionated developer toolkit that encapsulates a complete AI-assisted software development workflow by combining multiple specialized roles into a unified command-driven interface. It is designed to replicate a highly structured engineering environment where tasks such as planning, design review, quality assurance, release management, and documentation are handled through predefined commands and workflows. The system includes a set of curated tools that simulate roles like CEO,...
    Downloads: 3 This Week
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  • 4
    markstream-vue

    markstream-vue

    A Vue 3 renderer specifically built for AI-powered streaming Markdown

    markstream-vue is a specialized Vue 3 rendering engine designed to handle AI-generated streaming Markdown content with high performance and visual stability. It is built specifically for real-time applications such as chat interfaces, AI assistants, and live documentation systems where content is incrementally streamed rather than rendered all at once. The framework focuses on eliminating jitter and reflow issues that commonly occur when rendering progressively generated text, ensuring a...
    Downloads: 3 This Week
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  • 5
    AI Notes

    AI Notes

    Curated AI engineering notes on LLMs, generative models, and tools

    ai-notes is a curated repository of notes focused on the evolving landscape of artificial intelligence, particularly generative models and large language models. It is designed to help software engineers quickly understand modern AI concepts, tools, and developments through structured documentation and research notes. It functions as a living knowledge base composed of numerous markdown files that organize topics such as text generation, image generation, AI infrastructure, and code...
    Downloads: 3 This Week
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  • 6
    Tokscale

    Tokscale

    A CLI tool for tracking token usage from OpenCode, Claude Code

    Tokscale is a CLI and terminal UI tool that tracks token usage and estimated cost across multiple AI coding assistants and development workflows. It treats tokens like a measurable resource, helping developers understand how much “AI energy” they are consuming over time and where it is being spent. The tool aggregates usage across supported platforms and presents it through interactive views that let users filter, sort, and explore trends without leaving the terminal. Tokscale also includes...
    Downloads: 3 This Week
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  • 7
    Depth Anything 3

    Depth Anything 3

    Recovering the Visual Space from Any Views

    Depth Anything 3 is a research-driven project that brings accurate and dense depth estimation to any input image or video, enabling foundational understanding of 3D structure from 2D visual content. Designed to work across diverse scenes, lighting conditions, and image types, it uses advanced neural networks trained on large, heterogeneous datasets, producing depth maps that reveal scene depth relationships and object surfaces with strong fidelity. The model can be applied to photography,...
    Downloads: 3 This Week
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  • 8
    Claude-Flow

    Claude-Flow

    The leading agent orchestration platform for Claude

    Claude-Flow v2 Alpha is an advanced AI orchestration and automation framework designed for enterprise-grade, large-scale AI-driven development. It enables developers to coordinate multiple specialized AI agents in real time through a hive-mind architecture, combining swarm intelligence, neural reasoning, and a powerful set of 87 Modular Control Protocol (MCP) tools. The platform supports both quick swarm tasks and persistent multi-agent sessions known as hives, facilitating distributed AI...
    Downloads: 6 This Week
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  • 9
    DeepSeek-V3.2-Exp

    DeepSeek-V3.2-Exp

    An experimental version of DeepSeek model

    ...According to the authors, they aligned the training setup of V3.2-Exp with V3.1-Terminus so that benchmark results remain largely comparable, even though the internal attention mechanism changes. In public evaluations across a variety of reasoning, code, and question-answering benchmarks (e.g. MMLU, LiveCodeBench, AIME, Codeforces, etc.), V3.2-Exp shows performance very close to or in some cases matching that of V3.1-Terminus. The repository includes tools and kernels to support the new sparse architecture—for instance, CUDA kernels, logit indexers, and open-source modules like FlashMLA and DeepGEMM are invoked for performance.
    Downloads: 4 This Week
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  • 10
    Autoskills

    Autoskills

    One command. Your entire AI skill stack. Installed

    The Autoskills project is a developer tool that automates the installation of AI agent skills based on a project’s technology stack. It operates through a simple command-line interface that scans configuration files such as package.json and build scripts to detect the frameworks, languages, and tools used in a project. Once the stack is identified, it automatically installs a curated set of AI skills tailored to those technologies, significantly reducing setup time for AI-assisted...
    Downloads: 0 This Week
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  • 11
    Gemini MCP Tool

    Gemini MCP Tool

    MCP server that enables AI assistants to interact with Google Gemini

    Gemini MCP Tool is a lightweight MCP server that enables AI assistants to interface directly with the Google Gemini CLI, effectively extending the capabilities of one AI system by leveraging another. Its primary purpose is to allow tools like Claude or other MCP-compatible agents to offload complex or large-scale analysis tasks to Gemini, particularly when working with large files or codebases. The system takes advantage of Gemini’s large context window, enabling deeper analysis of extensive...
    Downloads: 0 This Week
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  • 12
    multi-agent-shogun

    multi-agent-shogun

    Samurai-inspired multi-agent system for Claude Code

    multi-agent-shogun is a multi-agent orchestration system designed to coordinate multiple AI coding agents working in parallel. Inspired by the hierarchy of a feudal Japanese military structure, the system organizes agents into roles such as Shogun, Karo, and Ashigaru, which correspond to strategist, coordinator, and worker agents. A user interacts primarily with the Shogun agent by issuing natural language instructions that describe the desired tasks. The system then automatically...
    Downloads: 0 This Week
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  • 13
    AI Agents From Scratch

    AI Agents From Scratch

    Demystify AI agents by building them yourself. Local LLMs

    AI Agents from Scratch is an educational repository designed to teach developers how to build autonomous AI agents using large language models and modern AI frameworks. The project walks through the process of constructing agents step by step, beginning with simple prompt-based interactions and gradually introducing more advanced capabilities such as planning, tool use, and memory. The repository provides example implementations that demonstrate how language models can interact with external...
    Downloads: 0 This Week
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  • 14
    mgrep

    mgrep

    A calm, CLI-native way to semantically grep everything, like code

    This project is a modern, semantic search tool that brings the simplicity of traditional command-line grep to the world of natural language and multimodal content, enabling users to search across codebases, documents, PDFs, and even images using meaning-aware queries. Built with a focus on calm CLI experiences, it lets you index and query your local files with semantic understanding, delivering results that are relevant to your intent rather than simple pattern matches, which is especially...
    Downloads: 0 This Week
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  • 15
    n-skills

    n-skills

    Curated plugin marketplace for AI agents

    n-skills is a curated plugin marketplace and universal skills collection for AI coding agents that standardizes how skills are defined, discovered, and installed across multiple frameworks and agent platforms. It organizes skills into categories such as workflow orchestration, tools, automation, and documentation support, making it easy for developers to add capabilities like browser automation, multi-agent workflow coordination, or repo maintenance assistance. The repository includes a...
    Downloads: 0 This Week
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  • 16
    Context Engineering Template

    Context Engineering Template

    Context engineering is the new vibe coding

    Context Engineering Template is a comprehensive template and workflow repository designed to teach and implement context engineering, a structured approach to preparing and organizing the information necessary for AI coding assistants to complete complex tasks reliably. Instead of relying solely on short prompts, this project encourages developers to create rich, structured context files that include project rules, examples, and validation criteria so that AI systems can act more like...
    Downloads: 0 This Week
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  • 17
    Agently 4

    Agently 4

    Build GenAI application quick and easy

    Agently is a Python framework for building generative-AI (“GenAI”) applications; it focuses on enabling developers to orchestrate AI agents, workflows, and event-driven logic in a robust, reusable way. With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. It abstracts away boilerplate around model API calls, tool usage, prompt management, and workflow state. The project aims at...
    Downloads: 0 This Week
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  • 18
    4M

    4M

    4M: Massively Multimodal Masked Modeling

    4M is a training framework for “any-to-any” vision foundation models that uses tokenization and masking to scale across many modalities and tasks. The same model family can classify, segment, detect, caption, and even generate images, with a single interface for both discriminative and generative use. The repository releases code and models for multiple variants (e.g., 4M-7 and 4M-21), emphasizing transfer to unseen tasks and modalities. Training/inference configs and issues discuss things...
    Downloads: 0 This Week
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  • 19
    Serena

    Serena

    Agent toolkit providing semantic retrieval and editing capabilities

    Serena is a coding-focused agent toolkit that turns an LLM into a practical software-engineering agent with semantic retrieval and editing over real repositories. It operates as an MCP server (and other integrations), exposing IDE-like tools so agents can locate symbols, reason about code structure, make targeted edits, and validate changes. The toolkit is LLM-agnostic and framework-agnostic, positioning itself as a drop-in capability for different chat UIs, orchestrators, or custom agent...
    Downloads: 0 This Week
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  • 20
    JEPA

    JEPA

    PyTorch code and models for V-JEPA self-supervised learning from video

    JEPA (Joint-Embedding Predictive Architecture) captures the idea of predicting missing high-level representations rather than reconstructing pixels, aiming for robust, scalable self-supervised learning. A context encoder ingests visible regions and predicts target embeddings for masked regions produced by a separate target encoder, avoiding low-level reconstruction losses that can overfit to texture. This makes learning focus on semantics and structure, yielding features that transfer well...
    Downloads: 0 This Week
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  • 21
    OpenAI Cookbook

    OpenAI Cookbook

    Examples and guides for using the OpenAI API

    openai-cookbook is a repository containing example code, tutorials, and guidance for how to build real applications on top of the OpenAI API. It covers a wide range of use cases: prompt engineering, embeddings and semantic search, fine-tuning, agent architectures, function calling, working with images, chat workflows, and more. The content is primarily in Python (notebooks, scripts), but the conceptual guidance is applicable across languages. The repository is kept up to date and often...
    Downloads: 0 This Week
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  • 22
    NoneBot

    NoneBot

    Asynchronous multi-platform robot framework written in Python

    Use NB-CLI to quickly build your own robot. Plug-in development, modular management. Supports multiple platforms and multiple incident response methods. Asynchronous priority development to improve operational efficiency. Simple and clear dependency injection system, built-in dependency functions reduce user code. NoneBot2 is a modern, cross-platform, and extensible Python chatbot framework. It is based on Python's type annotations and asynchronous features, and can provide convenient and...
    Downloads: 0 This Week
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  • 23
    Flow-Next

    Flow-Next

    Plan-first AI workflow plugin for Claude Code, OpenAI Codex

    Flow-Next is a workflow orchestration tool designed to manage complex processes by structuring tasks into organized and repeatable pipelines. It focuses on improving productivity by allowing users to define workflows that can be executed step by step or in parallel. The system emphasizes modularity, enabling tasks to be broken down into smaller components that can be reused across different workflows. It supports integration with various tools and services, making it adaptable to different...
    Downloads: 2 This Week
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  • 24
    HackerRepo.org

    HackerRepo.org

    Collection of cybersecurity-related references, scripts, tools, code

    HackerRepo is a massive curated repository that aggregates thousands of cybersecurity, ethical hacking, and digital forensics resources into a single structured knowledge base. The project is designed as a companion learning hub for security professionals, penetration testers, and researchers who want organized access to tools, references, and training material. It spans both offensive and defensive security topics, including exploit development, threat hunting, reverse engineering, AI...
    Downloads: 2 This Week
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  • 25
    AutoResearchClaw

    AutoResearchClaw

    Autonomous research from idea to paper. Chat an Idea. Get a Paper 🦞

    AutoResearchClaw is an open-source framework designed to automatically generate full academic research papers from a single idea or topic. Built in Python, it orchestrates a multi-stage research pipeline that gathers literature, formulates hypotheses, runs experiments, analyzes results, and writes the final paper. The system retrieves real academic references from sources such as arXiv and Semantic Scholar to ensure credible citations.
    Downloads: 0 This Week
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