Search Results for "modules" - Page 3
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Showing 523 open source projects for "modules"
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DreamCraft3D
Official implementation of DreamCraft3D
...The name suggests a “dream crafting” metaphor—users probably supply textual or image prompts and generate 3D assets (point clouds, meshes, scenes). The repository includes model code, inference scripts, sample prompts, and possibly dataset preparation pipelines. It may integrate rendering or post-processing modules (e.g. mesh smoothing, texturing) to make the outputs more output-ready. Because 3D generation is hardware‐intensive, the repository likely also includes optimizations like quantization, pruning, or inference accelerations (e.g. using FlashMLA or DeepEP) to make the generation pipeline faster or more efficient. DreamCraft3D may also support style or attribute control (e.g. ... -
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JC
CLI tool and python library
...This allows piping of output to tools like jq and simplifying automation scripts. jc JSONifies the output of many CLI tools and file types for easier parsing in scripts. This allows further command-line processing of output with tools like jq or jello by piping commands. The JC parsers can also be used as python modules. In this case, the output will be a python dictionary, or a list of dictionaries, instead of JSON. Two representations of the data are available. The default representation uses a strict schema per parser and converts known numbers to int/float JSON values. Certain known values of None are converted to JSON null, known boolean values are converted, and, in some cases, additional semantic context fields are added. -
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HunyuanVideo
HunyuanVideo: A Systematic Framework For Large Video Generation Model
HunyuanVideo is a cutting-edge framework designed for large-scale video generation, leveraging advanced AI techniques to synthesize videos from various inputs. It is implemented in PyTorch, providing pre-trained model weights and inference code for efficient deployment. The framework aims to push the boundaries of video generation quality, incorporating multiple innovative approaches to improve the realism and coherence of the generated content. Release of FP8 model weights to reduce GPU... -
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nbdev
Create delightful software with Jupyter Notebooks
nbdev is a notebook-driven development platform (by fast.ai/AnswerDotAI) enabling you to write code, tests, documentation, and deploy software, all from Jupyter Notebooks. It provides a unified literate programming workflow where you can tag notebook cells for export to Python modules, auto-generate documentation via Quarto (and host it on GitHub Pages), run tests embedded in notebooks, manage clean notebooks with Git-friendly metadata hooks, and seamlessly publish packages to PyPI/conda, all while keeping source and documentation in sync. -
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Sherloq
An open source digital image forensic toolset
Sherloq is a research-oriented toolkit designed for digital image forensics, providing an integrated environment to experiment with algorithms for image analysis and tampering detection. Rather than functioning as an automated decision-making system, it serves as a companion tool for researchers, enthusiasts, and students who want to explore forensic techniques from scientific literature and workshops. The project emphasizes transparency and community collaboration, contrasting with... -
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Mlxtend
A library of extension and helper modules for Python's data analysis
Mlxtend (machine learning extensions) is a Python library of useful tools for day-to-day data science tasks. -
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Shaderc
A collection of tools, libraries, and tests for Vulkan shader
...The glslc compiler offers a GCC/Clang-like interface for building GLSL and HLSL shaders, making it easy to integrate into existing build systems. Meanwhile, libshaderc exposes a stable API that allows developers to programmatically compile shader strings into SPIR-V modules within graphics engines and tools. Shaderc supports advanced features such as file inclusion (#include), concurrency, and cross-platform builds, and it maintains backward compatibility for long-term projects. -
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node-gyp
Node.js native addon build tool
node-gyp is a cross-platform command-line tool written in Node.js for compiling native addon modules for Node.js. It contains a vendored copy of the gyp-next project that was previously used by the Chromium team, extended to support the development of Node.js native addons. Note that node-gyp is not used to build Node.js itself. Multiple target versions of Node.js are supported (i.e. 0.8, ..., 4, 5, 6, etc.), regardless of what version of Node.js is actually installed on your system (node-gyp downloads the necessary development files or headers for the target version). node-gyp requires that you have installed a compatible version of Python, one of: v3.6, v3.7, v3.8, or v3.9. ... -
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Spring AI Alibaba Examples
Spring AI Alibaba examples for building and testing AI apps
...Developers can explore individual project folders for detailed instructions and implementation guidance. Spring AI Alibaba Examples also supports experimentation through playground modules and encourages contributions to expand real-world AI use cases and improve development practices. -
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Google Toolbox for Mac
Google Toolbox for Mac
...It consolidates reusable code components drawn from various internal Google projects, offering developers a wide range of tools for building efficient, maintainable Apple platform software. The library includes modules for networking, logging, testing, data handling, and user interface extensions, helping developers avoid reinventing common functionality. Its modular design allows developers to integrate only the components they need, improving project flexibility and performance. With well-documented interfaces and consistent coding standards, Google Toolbox for Mac serves as a reliable foundation for both small and large-scale applications. ... -
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DeepTutor
AI-Powered Personalized Learning Assistant
...It goes beyond simple Q&A by constructing multi-stage educational narratives, breaking down complex topics into sequenced “lesson steps,” and offering prompts, examples, and exercises that build on each other in a logical curriculum. The core architecture combines LLM-based reasoning with structured pedagogy modules so that explanations accommodate different learning styles and address misconceptions in follow-up responses. DeepTutor supports retrieval of external references, definitions, and diagrams so responses are grounded in authoritative content and not just generative text, and it includes internal checks to ensure accuracy and conceptual consistency. -
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OpenManus
Open-source AI agent framework
OpenManus is an open-source AI agent framework designed to autonomously execute complex, multi-step tasks by combining reasoning, planning, and tool use. It enables developers to build agents that can think, act, and iterate toward goals rather than simply responding to prompts. The platform emphasizes task decomposition, allowing agents to break down objectives into smaller steps and execute them sequentially or recursively. OpenManus supports integration with external tools, APIs, and... -
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TurtleBot3
ROS packages for Turtlebot3
A platform for developing robotics applications, TurtleBot3 offers an open-source kit for research, education, and development in robotics with ROS (Robot Operating System). -
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TorBot
Dark Web OSINT Tool
Contributions to this project are always welcome. To add a new feature fork the dev branch and give a pull request when your new feature is tested and complete. If its a new module, it should be put inside the modules directory. The branch name should be your new feature name in the format <Feature_featurename_version(optional)>. On Linux platforms, you can make an executable for TorBot by using the install.sh script. You will need to give the script the correct permissions using chmod +x install.sh Now you can run ./install.sh to create the torBot binary. ... -
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H4X-Tools
A modular, terminal-based toolkit for OSINT, reconnaissance
...Its tools cover areas such as Instagram profile research, web reconnaissance, phone lookup, IP lookup, username search, email search, leak intelligence, port scanning, WHOIS lookup, web scraping, directory discovery, Bluetooth scanning, and local user enumeration. The toolkit is designed to be extensible, so contributors can add new tools by creating modules that follow its BaseTool structure. It is intended for educational and authorized security research only, not for use against systems or accounts without permission. -
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BBOT
The recursive internet scanner for hackers
...It operates as a modular and recursive scanning tool that can enumerate subdomains, perform port scans, gather metadata, and collect web intelligence through a unified command-line interface. The project emphasizes extensibility, allowing users to create or integrate custom modules that expand the scope of reconnaissance tasks without modifying the core engine. BBOT is particularly valuable for security researchers and red teamers who need to automate multi-stage discovery processes across complex infrastructures. Its architecture supports chaining multiple reconnaissance techniques together, enabling continuous discovery rather than one-off scans. ... -
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SciPy
SciPy library main repository
This is the main repository for the SciPy library, one of the core packages that make up the SciPy stack. SciPy is an open source software used in the fields of mathematics, science, and engineering, with modules for statistics, optimization, integration, linear algebra, signal and image processing, and many more. The SciPy library contains many of the user-friendly and efficient numerical routines, including those for numerical integration, interpolation, and optimization. SciPy is built to work with NumPy, a software that provides convenient and fast N-dimensional array manipulation. ... -
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MyPy
Optional static typing for Python
mypy is a static type checker for Python that analyzes source code without executing it, catching type errors early in development. It implements PEP 484-style type hints and supports gradual typing, allowing untyped or partially typed modules to coexist with statically typed code. The tool integrates with common editors and CI systems, and offers a daemon mode for fast, incremental checks across large codebases. Advanced configuration via mypy.ini or pyproject.toml enables per-module strictness, plugin hooks for popular libraries, and fine-grained control of inference and error reporting. ... -
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Evennia
Python MUD/MUX/MUSH/MU* development system
...Rather than prescribing a rigid game structure, Evennia gives you a bare-bones but powerful foundation: default systems handle networking, database/storage, server management, user accounts, characters, rooms, items, chat channels, and basic commands — but you define the gameplay rules, content, and game logic yourself in pure Python modules. Because you use regular Python, you get all the benefits of a modern language: familiar syntax, standard libraries, version control, and rapid iteration, rather than a custom scripting language. The framework supports both traditional MUD clients (telnet-style) and a built-in HTML5 webclient, making it accessible to users on browsers or standard clients alike. -
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MoviePy
Video editing with Python
...The code is hosted on Github, where you can push improvements, report bugs and ask for help. There is also a MoviePy forum on Reddit and a mailing list on librelist. MoviePy depends on the Python modules NumPy, Imageio, Decorator, and Proglog, which will be automatically installed during MoviePy's installation. The software FFMPEG should be automatically downloaded/installed (by imageio) during your first use of MoviePy (installation will take a few seconds). -
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ViMax
Director, Screenwriter, Producer, and Video Generator All-in-One
ViMax is an open-source framework for performing large-scale multi-modal vision-language modeling and reasoning by combining powerful image encoders with advanced language models to solve complex visual tasks. It integrates components like visual encoders, cross-modal fusion techniques, and reasoning modules so that users can go beyond simple captioning or classification to perform tasks such as visual question answering, multi-image inference, and structured scene understanding. ViMax’s design accommodates large image sets and supports retrieval augmentation, enabling it to work with external image databases, supplementary metadata, and semantic search to enhance context awareness. ... -
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DeepSeek-V3.2-Exp
An experimental version of DeepSeek model
...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. -
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FinalRecon
All-in-one Python web reconnaissance tool for fast target analysis
...It combines multiple reconnaissance techniques into a single command-line utility so users do not need to run several separate tools to collect similar data. FinalRecon focuses on providing a fast overview of a web target while maintaining accuracy in the collected results. It includes modules for gathering server information, analyzing SSL certificates, performing WHOIS lookups, and crawling website resources. FinalRecon can also enumerate DNS records, discover subdomains, search for directories and files, and scan common network ports. Historical URLs and resources can be retrieved from archived sources to help analyze changes in a website over time. ... -
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Ansible-lint
Best practices checker for Ansible
Ansible Lint is a command-line tool for linting playbooks, roles and collections aimed towards any Ansible users. Its main goal is to promote proven practices, patterns and behaviors while avoiding common pitfalls that can easily lead to bugs or make code harder to maintain. Ansible lint is also supposed to help users upgrade their code to work with newer versions of Ansible. Due to this reason we recommend using it with the newest version of Ansible, even if the version used in production... -
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Salt
Automate the management and configuration of infrastructures at scale
Salt Bootstrap is a shell script that detects the target platform and selects the best installation method. (Supported Platforms) Your Salt master can manage itself, so a Salt minion is installed along with the Salt master. Before implementing Salt to manage any data center infrastructure it is important to understand a few things about Salt platform support including: What platforms will the Salt Master run on? What systems and infrastructure can be managed by a Salt Minion? Salt runs on...
