Search Results for "mimo network coding"
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Showing 136 open source projects for "mimo network coding"
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MiMo Code
Where Models and Agents Co-Evolve
MiMo-Code is a terminal-native AI coding assistant built for real software projects. It can read and edit code, run commands, manage Git, and preserve project knowledge across sessions. The tool includes multiple agent modes, including a build mode for development, a plan mode for read-only analysis, and a compose mode for structured workflows. -
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MiMo-V2-Flash
MiMo-V2-Flash: Efficient Reasoning, Coding, and Agentic Foundation
MiMo-V2-Flash is a large Mixture-of-Experts language model designed to deliver strong reasoning, coding, and agentic-task performance while keeping inference fast and cost-efficient. It uses an MoE setup where a very large total parameter count is available, but only a smaller subset is activated per token, which helps balance capability with runtime efficiency. -
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Kun
AI agent workspace with Code and Write modes built into your apps
Kun is a desktop AI agent workspace focused on a requirement-first coding workflow. Instead of starting with a vague prompt and immediately changing files, it guides users through requirement clarification, design, planning, todos, implementation, and review. The application includes a Code workspace for real repositories and a Write workspace for Markdown writing, editing, previewing, and exporting. It uses DeepSeek, Xiaomi MiMo, and MiniMax as its default model combination while still allowing custom providers. ... -
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OpenAI Codex CLI
Lightweight coding agent that runs in your terminal
...Codex CLI can also handle multimodal inputs like screenshots and diagrams to implement features intelligently. The tool includes built-in sandboxing & security measures, such as network restrictions and directory confinement, to protect your system during code execution. With extensive configuration options, including multiple AI providers and custom guidance files, it fits seamlessly into developer environments. -
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Graphify
AI coding assistant skill (Claude Code, Codex, OpenCode, OpenClaw)
Graphify is a data visualization and transformation tool designed to convert structured or semi-structured data into graph-based representations, enabling better understanding of relationships and dependencies. It focuses on building visual models such as nodes and edges that represent entities and their connections, making complex datasets easier to interpret. The system likely supports dynamic updates, allowing graphs to evolve as data changes or new inputs are introduced. It is... -
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thorough-pytorch
PyTorch Getting Started Tutorial, read online
...The repository provides tutorials and practical exercises that guide learners from fundamental PyTorch concepts to more advanced deep learning techniques. It emphasizes a learning approach that combines theoretical explanations with hands-on coding exercises so that students can build and experiment with neural networks directly. The project encourages collaborative learning and often organizes materials in a step-by-step progression that gradually increases in complexity. Topics include neural network fundamentals, training procedures, model evaluation, and practical deep learning workflows. ... -
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Edgee
AI gateway with token compression for Claude Code, Codex, and more
Edgee is an edge-native execution platform designed to run AI-driven logic and data processing directly at the network edge, reducing latency and improving responsiveness for modern applications. It enables developers to deploy functions and workflows closer to users, allowing real-time processing without relying heavily on centralized cloud infrastructure. The platform is built to support event-driven architectures, where actions are triggered by incoming requests, user behavior, or... -
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Oh My OpenAgent
The best agent harness
Oh My OpenAgent is a large-scale, open-source agent orchestration framework that aims to provide a fully unified and extensible environment for AI-powered software development and automation. It builds on the idea that no single model is sufficient, instead enabling coordinated use of multiple models for reasoning, creativity, speed, and cost efficiency within a single workflow. The system is designed as a comprehensive agent harness where tasks are automatically decomposed, delegated, and... -
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Programming Without Coding Technology
Create software using a general-purpose visual programming system
PWCT is not a Wizard for creating your application in 1 2 3 steps. PWCT is a general-purpose visual programming language designed for novice and expert programmers. A novice programmer can use PWCT to learn programming concepts like Data Structures, Control Structures and Programming Paradigms. An expert programmer can use PWCT to create any large and complex software. Using PWCT we developed a textual programming language Compiler and Virtual Machine without writing a single line of... -
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Cinder
Community-developed library for professional-quality creative coding
Cinder is a free and open source library for professional-quality creative coding in C++. Cinder is available under the BSD License for macOS and Windows. The latest version is 0.9.2. To keep up-to-date with Cinder’s development, consider working from the github repository directly. Cinder is a C++ library for programming with aesthetic intent - the sort of development often called creative coding. This includes domains like graphics, audio, video, and computational geometry. Cinder is... -
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claude-devtools
A desktop app that reconstructs exactly what Claude Code did
claude-devtools is an open-source desktop observability tool designed to provide deep visibility into Claude Code sessions by reconstructing execution activity directly from local session logs. Rather than acting as a wrapper or modifying Claude Code behavior, the application passively reads the logs stored in the user’s environment and rebuilds a structured, searchable timeline of what actually occurred during each session. The tool was created to address the loss of detail in the standard... -
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FlowLens MCP
Open-source MCP server that gives your coding agent
FlowLens MCP Server is an open-source tool designed to give AI-powered coding agents (like Claude Code, Cursor, GitHub Copilot / Codex, and others) full, replayable browser context to dramatically improve debugging, bug reporting, and regression testing for web applications. It works together with a companion browser extension: when a user reproduces a bug or a complicated UI interaction, the extension captures a rich session log, including screen/video recording, network traffic, console logs, DOM events, storage changes, and more, and exports it. ... -
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Decimen Optical Transfer
Fountain-coded QR file transfer
...A sending screen continuously displays encoded frames while a receiving camera captures enough of them to reconstruct the original payload. The system requires no direct network path, pairing process, native application, or permission beyond camera access. Fountain coding makes the stream tolerant of missed, blurred, duplicated, and out-of-order frames without requesting retransmission. Each QR frame includes session and file metadata, allowing a receiver to join an active stream or reset when a new session begins. ... -
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Chrome DevTools MCP
Chrome DevTools for coding agents
chrome-devtools-mcp is an MCP server that connects AI agents to the Chrome DevTools Protocol so they can inspect pages, record traces, read console/network data, and modify the live browser state under user control. It makes a running Chrome instance visible to MCP clients, enabling agents to debug websites end-to-end—launching Chrome, navigating, profiling, and collecting artifacts in a structured way. The repository spells out environment requirements and cautions that exposing a live... -
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PyTorch-Tutorial-2nd
CV, NLP, LLM project applications, and advanced engineering deployment
PyTorch-Tutorial-2nd is an open-source educational repository that provides structured tutorials for learning deep learning with the PyTorch framework. The project serves as a practical companion to a second edition of a PyTorch learning guide and is designed to help learners understand neural network concepts through hands-on coding examples. The repository covers a wide range of topics including tensor operations, neural network construction, model training workflows, and optimization strategies. It also introduces practical machine learning techniques such as convolutional neural networks, recurrent networks, and other architectures commonly used in modern AI applications. ... -
16
recipes
Some code snippets for sharing
...Other examples explore Protocol Buffers, RPC, reactors, SSL, strings, threading, and top-k processing. Java and Python material appears alongside code written for lower-level systems and network programming tasks. The collection is intended for sharing reference implementations, experiments, puzzles, and practical coding patterns across multiple technical areas. -
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BrowserTools MCP
Monitor browser logs directly from Cursor
...The project is actively maintained, with public commit activity and discussions around connectivity and reliability in different IDEs. Overall, it bridges the gap between local coding agents and the real browser they need to observe and manipulate. -
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MiniSom
MiniSom is a minimalistic implementation of the Self Organizing Maps
...Although it has expanded in terms of features, it remains minimalistic by relying only on the numpy library and emphasizing vectorization in coding style. -
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serve-sim
The `npx serve` of Apple Simulators
serve-sim is a developer tool for hosting Apple Simulators through a local or network-accessible web interface. It is described as the npx serve equivalent for Apple Simulators, allowing users to preview and control a simulator from a browser. The tool is especially useful for AI coding agents such as Codex, Cursor, and Claude Desktop because they can interact with a simulator through browser-driven workflows. It can run locally, over a LAN, or through a remote Mac with tunneling. ... -
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Attention Residuals (AttnRes)
Drop-in replacement for standard residual connections in Transformers
...Attention Residuals introduces a learnable softmax attention mechanism that allows each layer to selectively retrieve and weight useful representations from earlier layers, making depth dynamically adaptive rather than uniformly aggregated. This approach improves gradient stability, preserves meaningful signals throughout the network, and enhances performance in reasoning-heavy tasks such as coding, mathematics, and multi-step problem solving. -
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ObjectBox Java Database
Java and Android Database - fast and lightweight without any ORM
...Develop applications that work on- and offline, independently from a constant Internet connection, providing an “always-on”-feeling. Accelerate time-to-market with ObjectBox’ easy and super fast native language APIs, that bring the fun back to coding. ObjectBox reduces mobile network and cloud costs more than 40% by persisting data locally (on the edge), and syncing with low overhead and high efficiently. -
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Simple StyleGan2 for Pytorch
Simplest working implementation of Stylegan2
Simple Pytorch implementation of Stylegan2 that can be completely trained from the command-line, no coding needed. You will need a machine with a GPU and CUDA installed. You can also specify the location where intermediate results and model checkpoints should be stored. You can increase the network capacity (which defaults to 16) to improve generation results, at the cost of more memory. By default, if the training gets cut off, it will automatically resume from the last checkpointed file. ... -
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PyTorch Lightning
The lightweight PyTorch wrapper for high-performance AI research
...PyTorch Lightning is the ultimate PyTorch research framework that allows you to focus on the research while it takes care of everything else. It's designed to decouple the science from the engineering in your PyTorch code, simplifying complex network coding and giving you maximum flexibility. PyTorch Lightning can be used for just about any type of research, and was built for the fast inference needed in AI research and production. When you need to scale up things like BERT and self-supervised learning, Lightning responds accordingly by automatically exporting to ONNX or TorchScript. ... -
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web-eval-agent MCP Server
An MCP server that autonomously evaluates web applications
web-eval-agent is a Model Context Protocol (MCP) server that spins up a browser-use–capable debugging agent to autonomously run and evaluate web apps straight from your editor. It’s positioned as a “let the coding agent debug itself” companion: the agent launches the app, navigates flows, captures evidence, and iterates on failures without manual copy-pasting of logs. The repository focuses on developer ergonomics, exposing typed MCP tools so clients like Claude Desktop can start sessions,... -
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GoModel
The best AI Gateway 2026 - GoModel
GoModel is the last AI Gateway you'll ever try. It's the most secure, the fastest, and the most reliable AI Gateway according to self-verifiable benchmarks. The best open-source alternative to LiteLLM, GoModel provides a unified OpenAI-compatible API for OpenAI, Anthropic, Gemini, Groq, xAI, Ollama, vLLM, Amazon Bedrock, OpenRouter, and many more providers. Built in Go, it's lightweight, resource-efficient, and designed for production workloads with extremely low latency. GoModel...
