Search Results for "coding" - Page 88
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Showing 2276 open source projects for "coding"
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HirenJS Code Editor
HirenJS Is light weight open source Code editor.
HirenJS Code Editor: A lightweight, mobile-friendly JavaScript code editor for students to learn and practice coding on the go. -
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Auto-Typer-Zer0
Only Auto Typer with Text and Code typing modes to ensure perfection.
AutoTyper Zer0 - V1.0 --------------------------------- Auto Typer with Typing and Coding modes, for coding homework, and other miscellaneous uses: - Text Typing Mode: Automate plain text input seamlessly. - Code Typing Mode: Supports Python, Java, and C/C++ with options to remove comments and fix indentation. - Super Speed Mode: Type up to 100 lines in under 10 seconds. Customizable Speed & Dark Theme UI: Adjust typing speed and enjoy an aesthetic interface... -
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SharpHamLogger
Open .NET Ham Radio Logging System
Sharp Ham Logger is a complete open source Amateur Radio Logging software which will have many different views for DX, Contesting, Awards, etc. Done with clean coding and SOLID best practices. -
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QuotaWake
macOS menu bar app for AI coding session readiness
QuotaWake is an open-source macOS menu bar app for AI coding session readiness and usage-window scheduling. It helps developers keep Claude Code and Codex CLI workflows ready around planned usage windows while staying local-first. QuotaWake runs on your Mac, invokes the official CLIs you already use, stores no provider tokens, makes no provider HTTP requests, and keeps readiness logs locally. -
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An add on test project for Flight Simulator that creates an economy. This is a personal project to learn about coding and editing code.
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Qwen3.8-Flash-Next
Efficient multimodal MoE model for coding, reasoning, and AI agents
...It contains 512 MoE experts, activating 10 routed experts plus one shared expert per token. Qwen3.8-Flash-Next natively handles text, images, and video and supports a 262K-token context window extensible to 1M tokens. It targets coding, tool use, professional tasks, computer interaction, multimodal reasoning, and long-horizon agents, with configurable thinking modes and reasoning effort. -
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Ling 3.0 Tiny
Lightweight MoE model for local reasoning, coding, and AI agents
...It contains 7.9B total parameters while activating only 1.3B per token, using a hybrid architecture that alternates Kimi Delta Attention and Multi-Head Latent Attention with a sparse 128-expert MoE. The model supports both fast responses and configurable multi-step thinking, covering general agents, coding, mathematics, scientific reasoning, and instruction following. It is specifically optimized for local and resource-constrained deployment and has been validated on NVIDIA DGX Spark, Apple Silicon MacBooks, and Mac mini systems. FP8 testing reached around 100–105 tokens/s on DGX Spark and 86–90 tokens/s on an M4 Pro MacBook. BF16, FP8, and INT4 weights are available, while deployment options include SGLang, vLLM, and experimental Ollama support on Apple Silicon. -
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Nex-N2-mini
Compact agentic model for coding, tools, and productivity tasks
...Nex-N2-mini supports image-text-to-text workflows, explicit reasoning traces, robust function calling, and deployment through Transformers, vLLM, SGLang, Docker, and quantized local apps. It performs strongly across agentic, coding, search, and reasoning benchmarks, including SWE-Bench, Terminal-Bench, BrowseComp, Toolathlon, and GPQA. -
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Nex-N2-Pro
Large agentic model for coding, tools, research, and execution
...It supports image-text-to-text workflows, explicit reasoning traces, robust function calling, and deployment through Transformers, vLLM, SGLang, Docker, and quantized local apps. Nex-N2-Pro performs strongly across agentic, coding, search, and reasoning benchmarks, including Terminal-Bench, SWE-Bench Pro, BrowseComp, Toolathlon, WideSearch, GPQA Diamond, and GDPval. -
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Gemma 4 12B
Unified multimodal Gemma model for local coding and reasoning
Gemma 4 12B is Google DeepMind’s unified open-weight multimodal model designed for efficient local reasoning, coding, and multimodal understanding. Unlike other Gemma 4 models that rely on separate encoders, the 12B Unified model uses an encoder-free architecture that projects raw image patches and audio waveforms directly into the language model’s embedding space, reducing multimodal latency and simplifying fine-tuning. It supports text, image, audio, and video inputs with text output, making it useful for transcription, image understanding, video analysis, coding, and agentic workflows. ... -
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DeepSeek-V4-Flash
Efficient MoE model for million-token reasoning and coding
DeepSeek-V4-Flash is a preview Mixture-of-Experts language model built for efficient million-token context intelligence. It has 284B total parameters with 13B activated and supports a 1M-token context window, making it suitable for long-document reasoning, complex coding, agentic workflows, and large-scale information processing. The model uses a hybrid attention architecture that combines Compressed Sparse Attention and Heavily Compressed Attention to improve long-context efficiency, while Manifold-Constrained Hyper-Connections strengthen signal stability across layers. It is trained on more than 32T tokens and refined through a post-training pipeline that includes supervised fine-tuning, reinforcement learning, domain-specific expert cultivation, and on-policy distillation. ... -
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Qwen3.6-35B-A3B-FP8
FP8 Qwen model for efficient multimodal coding and agent tasks
...It is a multimodal open-weight model that combines a causal language model with a vision encoder, supporting text, image, and video inputs. Built for stability and real-world developer use, it emphasizes agentic coding, repository-level reasoning, and productive long-context workflows. A key capability is thinking preservation, which allows the model to retain reasoning traces from earlier messages, helping reduce repeated computation and improving consistency in iterative tasks. The model uses a Mixture-of-Experts design with 35B total parameters and 3B active, supports a native context window of 262,144 tokens, and can be extended to about 1,010,000 tokens with YaRN. ... -
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Smaug Flash
304B MoE model optimized for agentic coding and long-running workflows
...Smaug-Flash preserves the base model’s 1,048,576-token context window and low, high, and max reasoning-effort settings. Training specifically targets common agent failures such as looping, stalling, and inefficient task completion, producing substantial improvements across agentic coding benchmarks. The model uses block-FP8 attention and packed-FP4 experts and supports deployment through vLLM and SGLang while retaining compatibility with DeepSeek-V4-Flash. -
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CodingChecker
A coding style checker tool support C/C++ syntax
This project provide a framework for general coding style checker's process: 1, Support different adapter plugin for different programming language syntax 2, Support incremental scanning 3, Support customize criteria rules. 4, Generate report for scanning result. A C/C++ adapter was also implemented based on clang library as example. -
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JS TDD (Game of Life)
JavaScript unit testing. TDD.
This Library allows you to perform unit testing in Javascript, to practice TDD and to produce the most fun Game of Life for a code retreat or coding dojo! :D You can watch is alive here: http://js-tdd.sourceforge.net/ -
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timekeeping software, tiny and speedy. HAVE NO FUNCTIONALITY YET, DO NOT TRY, ONLY IF YOU WANT HELP ME CODING OR REVIEW.
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Luna Code Checker
An advanced web-based tool for checking JavaScript code using ESLint.
Luna Code Checker An advanced web-based tool for checking JavaScript code using ESLint. How to Use Clone the repository. Run npm install to install the dependencies. Run npm start to start the server. Open http://localhost:3000 in your web browser. Write or paste your JavaScript code in the textarea. Click the "Check Code" button to see linting results. Features Comprehensive syntax and style checking using ESLint. Detailed error messages including line numbers and... -
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HawkMobile
Student's basic information
...Of course it was designed for my school, but if you have basic android knowledge you will be able to understand and modify the proyect for your own school, hope it's helpful and useful for you, if you have any questions let me know. Happy coding :). -
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coding with ext(a javascript lib),java(j2ee,spring+hibernate). this project is a personal work information flat. (work flow). with content management and role control.
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AppWish
Java App - Code Generator
With App Wish, you can unleash your creativity without worrying about the complexities of coding. Whether you're a seasoned developer or a non-technical individual, this platform bridges the gap, making app development accessible to all. -
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Awesome Certificates
Curated list of IT & computer science courses with free certificates
7000+ hours of free coding courses with labs and over a 100+ certification to earn. Project is 100% open-source and hosted on Github so feel free to contribute to the list here https://github.com/PanXProject/awesome-certificates -
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pacweb
A Web Oscilloscope using only standard web capabilities
This project is a simple proof of concept of extending 'portal' (ex Jquery-Socket) projects , exchanging binary data instead of ascii based encoding, like hexadecimal string. The Web Oscilloscope use this feature to make the usage of web channel more efficient. Without this enhancement at least 30% of the payload is wasted by the coding. Another example of application should be distributed computing via web. The name of PAC derive from a projects of mine realized at University in 2006, and stand for 'Programma per l'Autocorrelazione Ciclica'. -
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llmverify-npm
You need a safety layer between your LLM and your users.
Stop shipping unsafe AI output. Local-first verification, safety monitoring, and guardrails for any LLM 100% Local | No Telemetry | Privacy-First | 500 free calls/day Links Product Page: subodhkc.com/products/llmverify npm: npmjs.com/package/llmverify GitHub: github.com/subodhkc/llmverify-npm Python Package (PyPI): github.com/subodhkc/llmverify Author: Subodh KC — AI governance, compliance, and security leader Feature One-liner What it catches Verify output await...
