Search Results for "//sourceforge.net/projects/shanaencoder/"
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Showing 379 open source projects for "//sourceforge.net/projects/shanaencoder/"
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Curtain LogTrace File Activity MonitoringCurtain LogTrace File Activity Monitoring is an enterprise file activity monitoring solution. It tracks user actions: create, copy, move, delete, rename, print, open, close, save. Includes source/destination paths and disk type. Perfect for monitoring user file activities.
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Get your free 3CX license delivered to your inbox. Easy deployment and management; on premise or in the cloud, 3CX includes features such as: mobile apps, web conferencing, live chat, click2call and more, for UNLIMITED users.3CX is a software-based, open standards IP PBX that offers complete Unified Communications, out of the box. Suitable for any business size or industry 3CX can accommodate your every need; from mobility and status to advanced contact center features and more, at a fraction of the cost. 3CX makes installation, management and maintenance of your PBX so easy that you can effortlessly manage it yourself, whether on an appliance or server at your premise on Windows, Linux or in the cloud.
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Best-of Machine Learning with Python
A ranked list of awesome machine learning Python libraries
This curated list contains 900 awesome open-source projects with a total of 3.3M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. -
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Zero to Mastery Machine Learning
All course materials for the Zero to Mastery Machine Learning
...It also includes milestone projects that demonstrate how to build end-to-end machine learning systems using real datasets, including classification and regression tasks. -
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GoogleTest
Google Testing and Mocking Framework
GoogleTest is Google's C++ mocking and test framework. It's used by many internal projects at Google, as well as a number of notable projects such as The Chromium projects, the OpenCV computer vision library, and the LLVM compiler. This GoogleTest project is actually a union of what used to be two separate projects: the old GoogleTest and GoogleMock, an extension of GoogleTest for writing and using C++ mock classes. -
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Ollama
Run models like Kimi-K2.5, GLM-5, DeepSeek, gpt-oss, Gemma, Qwen etc.
...Ollama also integrates with popular developer tools and AI agents, allowing seamless workflows across coding environments and applications. It supports REST APIs, Python, and JavaScript SDKs, making it easy to build AI-powered features into software projects. Overall, Ollama focuses on privacy, local-first AI execution, and developer-friendly tooling for building with open models. -
Taking the Paper Out of WorkThe Square 9 AI-powered intelligent document processing platform takes the paper out of work and makes it easier to get things done with digital workflows.
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OhMyOpenCode
The Batteries-Included Agent that codes like you
OhMyOpenCode is an open-source starter kit and community ecosystem designed to help developers discover, contribute to, and manage open-source projects with greater ease and structure. It provides templates, organizational guidelines, and tooling that standardize how projects are set up — including recommended README structures, contribution workflows, issue templates, and automated CI/CD integrations — so maintainers can focus on building features instead of boilerplate. The repository also serves as a showcase and aggregation hub for quality open-source work, offering curated lists of notable projects, learning pathways, and contribution opportunities for developers at various skill levels. ... -
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free-code
The free build of Claude Code
Free-code is an open-source platform aimed at providing accessible coding resources, tools, or templates that help developers learn, build, and share projects without barriers. It typically focuses on simplifying the development process by offering prebuilt components, example projects, or utilities that can be reused across different applications. The project is designed to encourage collaboration and knowledge sharing within the developer community, making it easier for beginners and experienced developers alike to access useful code snippets and frameworks. ... -
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Ruler AI
Centralize and sync AI coding rules across tools and projects
...Instead of maintaining separate configuration files for tools like GitHub Copilot, Claude, or Cursor, it stores all rules in a single .ruler/ directory and distributes them automatically. This reduces duplication, avoids inconsistent outputs, and keeps guidance aligned as projects evolve. Ruler supports nested rule loading, allowing teams to define context-specific instructions for different parts of a codebase. It also manages MCP server settings, automates .gitignore updates, and provides simple commands to initialize, apply, and revert configurations. Designed for teams using multiple AI agents, it improves workflow consistency, simplifies onboarding, and ensures all assistants follow the same standards across projects. -
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Google Research: Language
Shared repository for open-sourced projects from the Google AI Lang
Google Research: Language is a shared repository maintained by Google Research that contains open-source projects developed by the Google AI Language team. The repository hosts multiple subprojects related to natural language processing, machine learning, and large-scale language understanding systems. Many of the projects included in the repository correspond to research papers released by Google researchers and provide implementations of new NLP algorithms or experimental frameworks. ... -
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GitHubDaily
A list cool, interesting projects of GitHub
GitHubDaily is an open-source curated collection that aggregates high-quality and trending GitHub projects for developers to discover and learn from. The repository functions as a continuously updated resource that highlights noteworthy tools, frameworks, and libraries across many technical domains. Its goal is to reduce the time developers spend searching for useful open-source projects by presenting organized recommendations in a single location. -
Project Management SoftwareProject Insight offers powerful tools for project managers and teams in order to deliver optimal performance and ensure success. An enterprise project and portfolio management software, Project Insight offers personalized dashboards, intelligent scheduling, resource management, collaboration, time and expense tracking, project and portfolio tracking, workflow, and reporting features to help teams work better and get real results. Project Insight is suitable for small teams, mid-market companies, and large enterprises.
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Stable Diffusion Version 2
High-Resolution Image Synthesis with Latent Diffusion Models
...It’s organized as a practical, developer-focused toolkit: model code, scripts for inference, and examples for using memory-efficient attention and related optimizations are included so researchers and engineers can run or adapt the model for their own projects. The project sits within a larger ecosystem of Stability AI repositories (including inference-only reference implementations like SD3.5 and web UI projects) and the README points users toward compatible components, recommended CUDA/PyTorch versions. -
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Aider
Aider is AI pair programming in your terminal
Aider is an AI pair programming tool that runs directly in your terminal, helping developers build new projects or extend existing codebases faster and more confidently. It works alongside you like a coding partner, using powerful large language models to understand your code and implement precise changes. Aider creates a structured map of your entire repository, allowing it to handle large and complex projects effectively. It supports over 100 programming languages, making it flexible for nearly any development stack. ... -
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Metaflow
A framework for real-life data science
Metaflow is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning. -
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AI-Tutorials/Implementations Notebooks
Codes/Notebooks for AI Projects
AI-Tutorials/Implementations Notebooks repository is a comprehensive collection of artificial intelligence tutorials and implementation examples intended for developers, students, and researchers who want to learn by building practical AI projects. The repository contains numerous Jupyter notebooks and code samples that demonstrate modern techniques in machine learning, deep learning, data science, and large language model workflows. It includes implementations for a wide range of AI topics such as computer vision, agent systems, federated learning, distributed systems, adversarial attacks, and generative AI. ... -
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Paseo
Orchestrate coding agents remotely from your phone, desktop and CLI
...The platform likely includes tools for routing, state management, and component organization, enabling rapid development of scalable applications. It emphasizes clean architecture and modular design, making it easier to maintain and extend projects over time. Paseo is designed to integrate with modern frontend and backend ecosystems, supporting flexible deployment and customization. Its approach prioritizes clarity and efficiency, reducing the cognitive overhead associated with complex frameworks. Overall, Paseo serves as a streamlined development environment that balances simplicity with capability for modern web projects. -
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All-in-RAG
Big Model Application Development Practice 1
...The project also explores advanced topics such as hybrid retrieval methods, query optimization, and evaluation techniques for improving system accuracy. Alongside theoretical explanations, the repository includes hands-on exercises and example projects that demonstrate how to build production-ready RAG systems. These projects guide developers through the process of integrating vector databases, embedding models, and large language models into a unified application. -
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CVPR 2026
Collection of CVPR 2026 Papers and Open Source Projects
CVPR2026-Papers-with-Code is a community-maintained repository that collects research papers and corresponding open-source implementations from the CVPR 2026 conference and related computer vision research. The repository acts as a continuously updated catalog of cutting-edge research across a wide range of topics including computer vision, multimodal AI, generative models, diffusion systems, autonomous driving, medical imaging, and remote sensing. Each entry typically links to the research... -
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MCP Server Azure DevOps
An MCP server for Azure DevOps
The Azure DevOps MCP Server is an MCP server implementation that allows AI assistants to interact with Azure DevOps APIs through a standardized protocol. It facilitates access and management of projects, work items, repositories, and more. -
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Ralph for Claude Code
Autonomous development loop that iteratively improves projects
...Ralph for Claude Code is designed to be installed globally so it can operate as a command-line utility available in any directory, enabling developers to apply autonomous development workflows across multiple projects. -
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LobeHub
Workspace to find, build, and collaborate with AI agents
...LobeHub brings multiple models, tools, and modalities into a single unified environment under the user’s control. With built-in collaboration features, agents can work in parallel, share context, and support complex projects seamlessly. The platform is built around the idea of co-evolution, where both humans and agents continuously learn and improve together. -
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AI Engineering Hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications
The AI Engineering Hub repository is a large open-source collection of hands-on projects, tutorials, and real-world AI engineering resources designed to help developers learn and build with modern AI technologies, especially large language models (LLMs), retrieval-augmented generation (RAG), and agent-based systems. It includes more than 90 production-ready projects across skill levels, organized into beginner, intermediate, and advanced categories to guide users progressively from simple experiments to complex AI workflows. ... -
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Multica
The open-source managed agents platform
...Multica emphasizes collaboration between humans and AI by allowing agents to operate alongside developers in shared workspaces. It also supports reusable skill accumulation, meaning that solutions generated by agents can be reused across projects to improve efficiency over time. -
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Data Science Articles from CodeCut
Collection of useful data science topics along with articles
...Each topic often includes references to code repositories, demonstrations, and video tutorials that show how the tools can be applied in real projects. The repository is intended to help practitioners stay updated with current best practices and technologies in the field of data science. -
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Ai-Learn
The artificial intelligence learning roadmap compiles 200 cases
...The project also provides a large collection of practical exercises and case studies that allow learners to apply theoretical knowledge through real projects. According to the repository description, it includes nearly two hundred hands-on AI examples developed through years of teaching experience. -
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MLRun
Machine Learning automation and tracking
...MLRun breaks the silos between data, ML, software, and DevOps/MLOps teams, enabling collaboration and fast continuous improvements. In MLRun the assets, metadata, and services (data, functions, jobs, artifacts, models, secrets, etc.) are organized into projects. Projects can be imported/exported as a whole, mapped to git repositories or IDE projects (in PyCharm, VSCode, etc.), which enables versioning, collaboration, and CI/CD. Project access can be restricted to a set of users and roles. -
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Godot MCP
MCP server for interfacing with Godot game engine
Godot MCP is a Model Context Protocol server that enables AI assistants to directly interact with the Godot game engine, allowing programmatic control over game development workflows through natural language or agent-driven commands. It acts as a bridge between AI systems and the Godot editor, providing capabilities such as launching projects, running games in debug mode, and capturing runtime output for analysis. The tool is particularly valuable for AI-assisted game development, as it creates a feedback loop where agents can execute code, observe results, and iteratively improve their outputs. It also includes advanced features for manipulating scenes, managing assets, and editing project structures, making it possible to automate large portions of the development process. ...
