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Chinese Programming Books is a code project with source, releases, documentation, or setup notes.
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Published directory entries matching your search.
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Professional Programming is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Programming Learning Index is a GitHub repository or organization with source code, releases, documentation, or project resources.
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This is a curated gallery of interesting Jupyter Notebooks, organized by topic categories including introductory tutorials, programming and computer science, statistics and machine learning, data science, mathematics, physics, chemistry, biology, earth science, geo-spatial data, linguistics, and text mining.
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Aider is an AI pair programming tool that runs in the terminal. It connects to cloud or local LLMs to start new projects or build on existing codebases, maps the codebase, and works with many programming languages. Changes are committed automatically with git, and aider can lint and test code after edits.
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CodeGeeX is an open multilingual code generation model with 13 billion parameters, pre-trained on a code corpus of more than 20 programming languages. It supports multilingual code generation, crosslingual code translation and a VS Code extension, and the repository also releases the HumanEval-X benchmark.
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m2cgen is a tool that transforms trained machine learning models into native code across a wide range of programming languages including Java, C, Python, Go, JavaScript, C#, R, PHP, Dart, Haskell, Ruby, F#, and Rust, with zero dependencies. Its codebase is hosted in the BayesWitnesses GitHub repository, which includes navigation for installation, development guidance, supported languages, and supported model types.
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Open-source coding assistant using language models and vector embeddings to search, retrieve, explore and understand codebases. It works with local code and multiple programming languages; code snippets are only transmitted when a question is asked. Installation is via pip, and it defaults to the gpt-3.5-turbo-16k model.
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A repository holding the paper source, analysis notebook, and data generation and analysis scripts for the diginorm paper. It is forked from another repository and includes LaTeX sources, bibliography files, figures and a pipeline folder.
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Open-source project that supports software development with code generation, analysis, debugging, or documentation.
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Open-source project that supports software development with code generation, analysis, debugging, or documentation.
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Open-source project that supports software development with code generation, analysis, debugging, or documentation.
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AI Context Linter is a GitHub Action that checks AI coding context files such as CLAUDE.md, .cursorrules and AGENTS.md for security issues, structural problems and AI anti-patterns. It auto-detects context files and runs 12 rules, including detection of hardcoded API keys and leaked home directory paths. Rules cover structure, vague or conflicting instructions and file-type specifics, with configurable token limits and disabled rules.
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Open-source project that supports software development with code generation, analysis, debugging, or documentation.
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AI Kernel Explorer is a lightweight tool that uses GPT-4o to generate summaries of Linux kernel source code while the codebase is explored. It addresses the difficulty of understanding a codebase of over 30 million lines. It is installed via pip or pipx and requires an OpenAI API key; options include a cache path and a model selection.
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Open-source project that supports software development with code generation, analysis, debugging, or documentation.
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Apache MXNet is a deep learning framework mixing symbolic and imperative programming. It includes a dynamic dependency scheduler that parallelizes symbolic and imperative operations, with a graph optimization layer for symbolic execution. The repository was archived on Nov 17, 2023, and is read-only.
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AutoGen is a programming framework for agentic AI. It provides developers with tools to create and manage AI agents that can perform tasks autonomously. The framework is designed to facilitate the development of multi-agent systems.
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automl-gs is a Python 3 AutoML module that takes an input CSV and a target field and generates a trained machine learning or deep learning model plus native Python code pipelines. It provides a zero code/model definition interface and performs random hyperparameter searches, reporting metrics for each trial in a CSV.
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Awesome ADE is a curated GitHub list of open-source Agentic Development Environments, covering orchestrators, TUIs, tmux harnesses, sandboxes and the agents they run. It is maintained by KyroLabs and organized by packaging and stack layer.
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Open-source project that supports software development with code generation, analysis, debugging, or documentation.
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Awesome Educational Games is a curated list of educational games designed to help users learn editors, programming languages, and other technical skills, with additional related educational articles, organized into categories such as art & design, CSS, and math & computer science.
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Awesome Machine Learning with Ruby is a GitHub-hosted curated list of resources for machine learning development using the Ruby programming language. It includes tutorials and machine learning libraries for Ruby users.
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Open-source project that supports software development with code generation, analysis, debugging, or documentation.