Search Results for "code" - Page 3
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8299 projects for "code" with 1 filter applied:
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Parser for Rust source code
Parser for Rust source code
...The documentation emphasises that while the crate is geared for procedural macros (and custom derives), some of the APIs may be of more general use. Using syn you can effectively write code that analyzes or generates Rust code at compile time. -
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Code World Model (CWM)
Research code artifacts for Code World Model (CWM)
...The repository provides inference code, reproducibility scripts, prompt guides, and more. It has model cards, utilities, demos, and evaluation artifacts. Inference scripts and utilities for code generation tasks. Evaluation benchmarks on code, mathematics, and reasoning tasks. Demos, serving code, and evaluation pipelines. -
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Academic Research Skills for Claude Code
Academic Research Skills for Claude Code
Academic Research Skills is a structured learning repository aimed at improving users’ ability to conduct rigorous academic research, particularly in technical and scientific domains. It compiles methodologies, frameworks, and best practices for literature review, critical analysis, and research writing. The project is designed as a self-guided resource, helping learners understand how to evaluate sources, synthesize information, and develop strong arguments. It likely integrates examples,... -
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File Nesting Config for VS Code
Config of File Nesting for VS Code
This project provides a curated configuration snippet for the file-nesting feature of Visual Studio Code, authored by Anthony Fu (antfu). The goal is to help developers organize large code-bases by collapsing “secondary” or generated files (for example build artifacts, tests, config variants) under their primary files in the Explorer tree. It supports VS Code version 1.67 and above by enabling the built-in "explorer.fileNesting" setting. -
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code-act
Official Repo for ICML 2024 paper
code-act is a research framework for building intelligent language-model agents that interact with their environment through executable code actions. The system proposes a unified action representation where language models produce Python code that can be executed directly, allowing the model to interact with external tools and environments in a structured way. -
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DeepSeek Coder V2
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models
DeepSeek-Coder-V2 is the version-2 iteration of DeepSeek’s code generation models, refining the original DeepSeek-Coder line with improved architecture, training strategies, and benchmark performance. While the V1 models already targeted strong code understanding and generation, V2 appears to push further in both multilingual support and reasoning in code, likely via architectural enhancements or additional training objectives. -
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MCreator
Make Minecraft Java Edition mods, Minecraft Bedrock Edition Add-Ons
MCreator is an open-source integrated development environment designed to simplify the process of creating Minecraft mods, add-ons, resource packs, and data packs. The software provides a visual programming environment where users can design mod features using graphical tools instead of writing code manually. Through wizards, block-based programming interfaces, and an integrated editor, MCreator generates the underlying Java or JSON code required for the mod automatically. This approach allows beginners and students to experiment with mod development without needing extensive programming experience. At the same time, advanced users can extend the tool through plugins or directly modify the generated code for more complex projects. ... -
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Clean Code concepts for .NET/.NET Core
Clean Code concepts and tools adapted for .NET
Clean Code concepts for .NET/.NET Core is a comprehensive guide and collection of best practices aimed at helping developers write clean, maintainable, and efficient code in .NET applications. It adapts widely accepted clean code principles to the .NET ecosystem, providing examples, explanations, and guidelines tailored to C# and related technologies. -
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Apache NetBeans
Apache NetBeans
Apache NetBeans is much more than a text editor. It highlights source code syntactically and semantically, lets you easily refactor code, with a range of handy and powerful tools. Apache NetBeans provides editors, wizards, and templates to help you create applications in Java, PHP and many other languages. Apache NetBeans can be installed on all operating systems that support Java, i.e, Windows, Linux, Mac OSX and BSD. -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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CMake
Cross-platform tool to build, test and package software
CMake is an open-source, cross-platform family of tools designed to build, test and package software. CMake is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of your choice. The suite of CMake tools were created by Kitware in response to the need for a powerful, cross-platform build environment for open-source projects such as ITK and... -
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FLUX.1
Official inference repo for FLUX.1 models
...This repo focuses on running the open-source model variants efficiently, providing scripts, model loading logic, and examples for local installations, and supports integration with Python toolchains like PyTorch and popular generative pipelines. Users can launch CLI tools to generate images, experiment with different FLUX variants, and extend the base code for research-oriented applications. -
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sqlc SQL Compiler
Generate type-safe code from SQL
sqlc generates type-safe code from SQL. You write queries in SQL. You run sqlc to generate code with type-safe interfaces to those queries. You write application code that calls the generated code. -
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Hands-On Large Language Models
Official code repo for the O'Reilly Book
Hands-On-Large-Language-Models is the official GitHub code repository accompanying the practical technical book Hands-On Large Language Models authored by Jay Alammar and Maarten Grootendorst, providing a comprehensive collection of example notebooks, code labs, and supporting materials that illustrate the core concepts and real-world applications of large language models. The repository is structured into chapters that align with the educational progression of the book — covering everything from foundational topics like tokens, embeddings, and transformer architecture to advanced techniques such as prompt engineering, semantic search, retrieval-augmented generation (RAG), multimodal LLMs, and fine-tuning. ... -
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Monaco Editor
A browser based code editor
Monaco Editor is the rich, browser-based code editor that powers Visual Studio Code, providing advanced editing capabilities as a standalone embeddable library for web applications. Models are at the heart of Monaco editor. It's what you interact with when managing content. A model represents a file that has been opened. This could represent a file that exists on a file system, but it doesn't have to. -
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Blooket Cheats
05k0nz's legacy is safe
...It organizes cheat scripts by game mode and provides methods for loading them through bookmarklets, a GitHub Pages interface, or browser console execution. The repository includes folders for cheats, tutorials, auto-update logic, page styling, and front-end code. From a software perspective, it is a browser-script collection focused on manipulating a web game environment. However, using cheats can violate platform rules, undermine fair play, and create problems in classroom or competitive settings. It is best described neutrally as a JavaScript-based browser scripting repository rather than as a recommended gameplay tool. -
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Humanizer Skill
Claude Code skill that removes signs of AI-generated writing from text
Humanizer Skill is a utility library focused on transforming technical or machine-oriented text into expressions that are more natural, readable, and “human-friendly.” It provides a suite of algorithms that convert timestamps, identifiers, file sizes, code tokens, and structured data into phrases that resemble typical human phrasing rather than compact machine output. For example, date and time values can be expressed as relative terms (“two hours ago”), and file sizes can be shown in intuitive units instead of raw bytes. It also includes functions for transforming camelCase, snake_case, or PascalCase identifiers into spaced and capitalized representations suitable for user interfaces, reports, or documentation. ... -
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DeepSeek Coder
DeepSeek Coder: Let the Code Write Itself
DeepSeek-Coder is a series of code-specialized language models designed to generate, complete, and infill code (and mixed code + natural language) with high fluency in both English and Chinese. The models are trained from scratch on a massive corpus (~2 trillion tokens), of which about 87% is code and 13% is natural language. This dataset covers project-level code structure (not just line-by-line snippets), using a large context window (e.g. 16K) and a secondary fill-in-the-blank objective to encourage better contextual completions and infilling. ... -
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Universal Pokemon Randomizer ZX
Public repository of source code for the Universal Pokemon Randomizer
Universal Pokemon Randomizer ZX is an open-source tool that allows players to modify and randomize various aspects of Pokémon games across multiple generations, creating unique and unpredictable gameplay experiences. It supports a wide range of ROMs and provides a user-friendly interface for customizing game elements such as Pokémon encounters, abilities, stats, movesets, and item distributions. The tool is designed to maintain game stability while introducing variability, ensuring that... -
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Zoo Design Studio
The Zoo Design Studio app
Zoo Design Studio is a modern CAD application that combines traditional graphical modeling with fully programmable design through code, creating a hybrid workflow for engineering and design. The platform treats all CAD artifacts as human-readable code, allowing designs to be version-controlled, diffed, and managed using standard software development tools like Git. Users can interact with the system through a familiar point-and-click interface, but every action is translated into code in the underlying modeling language, ensuring consistency between visual and programmatic representations. ... -
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Happy Coder
Mobile and Web client for Codex and Claude Code, with realtime voice
Happy is an open-source, cross-platform mobile and web client designed to bring powerful AI coding agents such as Claude Code and Codex to your fingertips no matter where you are. At its core, Happy wraps existing AI coding tools with a unified interface, providing real-time voice interactions, encrypted communication, and seamless device switching between desktop and mobile. You can start a coding session locally through the Happy CLI or connect from a phone or browser, allowing developers to inspect, interact with, and guide the AI as it generates, tests, or explains code. -
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GLM-4.6
Agentic, Reasoning, and Coding (ARC) foundation models
...It introduces an extended 200K token context window, enabling more sophisticated long-context reasoning and agentic workflows. The model achieves superior coding performance, excelling in benchmarks and practical coding assistants such as Claude Code, Cline, Roo Code, and Kilo Code. Its reasoning capabilities have been strengthened, including improved tool usage during inference and more effective integration within agent frameworks. GLM-4.6 also enhances writing quality, producing outputs that better align with human preferences and role-playing scenarios. Benchmark evaluations demonstrate that it not only outperforms GLM-4.5 but also rivals leading global models such as DeepSeek-V3.1-Terminus and Claude Sonnet 4. -
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MLflow
Open source platform for the machine learning lifecycle
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). -
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Apollo Client
A fully-featured, production ready caching GraphQL client
...Enjoy helpful tooling for TypeScript, Chrome / Firefox devtools, and VS Code. Take advantage of the latest React features, such as hooks. Drop Apollo into any JavaScript app and incorporate it feature by feature. Use any build setup and any GraphQL API. Share knowledge with thousands of developers in the GraphQL community. -
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N64: Recompiled
Tool to statically recompile N64 games into native executables
N64: Recompiled is an open-source recompilation framework designed to translate Nintendo 64 game binaries into modern, portable C code that can be compiled and executed natively on contemporary systems. Instead of relying on traditional emulation, which interprets instructions at runtime, N64Recomp focuses on static recompilation, converting MIPS-based N64 binaries into readable and buildable source code. This approach allows developers to run classic games with improved performance, lower latency, and better integration with modern hardware and operating systems. ... -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples. whisper.cpp supports integer quantization of the Whisper ggml models. Quantized models require less memory and disk space and depending on the hardware can be processed more efficiently.
