Search Results for "combine" - Page 5
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Showing 589 open source projects for "combine"
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X4G
Fast and modern gateway for VLESS tunneling on WebSocket and XHTTP
...Administrators can create unlimited connection links with individual traffic quotas, bandwidth limits, expiration dates, ports, and simultaneous IP restrictions. Subscription groups combine multiple configurations into shareable public pages that can be protected with passwords and exported as QR codes. Persistent storage preserves configurations and usage data across deployments, while an optional Telegram bot provides remote management without opening the web panel. -
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Bubbles
TUI components for Bubble Tea
Bubbles is a Go component library for building terminal user interfaces with Bubble Tea. It provides reusable UI elements that developers can combine into interactive command-line applications. The project includes components for lists, text inputs, spinners, progress displays, pagination, filtering, help views, and other common TUI patterns. Bubbles is useful because it saves developers from rebuilding basic interface behavior from scratch every time they make a terminal app. ... -
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FAY
Framework for building AI-powered interactive digital humans and agent
...Fay supports various types of digital humans, including 2.5D and 3D avatars, and can be integrated with applications running on mobile devices, PCs, web platforms, and embedded systems. Its architecture allows developers to combine different AI components such as speech recognition, text-to-speech, and large language models to create conversational digital agents. Fay provides multiple interfaces for text, voice, and digital human control, enabling developers to build interactive assistants, virtual presenters, or automated service agents. It also supports custom knowledge bases and configurable behaviors so developers can tailor the personality and responses of the digital human. -
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Modular Platform
The Modular Platform (includes MAX & Mojo)
...The project centers on enabling developers to run AI models faster and more efficiently by rethinking the traditional ML software stack. It is closely associated with the Mojo programming language and related tooling that aims to combine Python usability with systems-level performance. Modular’s ecosystem is designed to simplify deployment of AI workloads across heterogeneous hardware while maximizing throughput. The repository reflects an effort to modernize the AI development pipeline from compilation to runtime execution. Overall, Modular represents an ambitious attempt to unify performance engineering and developer ergonomics for large-scale AI systems. -
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PennyLane
A cross-platform Python library for differentiable programming
...Train a quantum computer the same way as a neural network. Built-in automatic differentiation of quantum circuits, using the near-term quantum devices directly. You can combine multiple quantum devices with classical processing arbitrarily! Support for hybrid quantum and classical models, and compatible with existing machine learning libraries. Quantum circuits can be set up to interface with either NumPy, PyTorch, JAX, or TensorFlow, allowing hybrid CPU-GPU-QPU computations. The same quantum circuit model can be run on different devices. ... -
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Karate
Test automation made simple
Karate is the only open-source tool to combine API test-automation, mocks, performance-testing and even UI automation into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Assertions and HTML reports are built-in, and you can run tests in parallel for speed. There’s also a cross-platform stand-alone executable for teams not comfortable with Java. -
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react-globe.gl
React component for Globe Data Visualization using ThreeJS/WebGL
...Applications can render points, arcs, polygons, paths, heatmaps, tiles, particles, rings, labels, HTML markers, and custom 3D objects. Three.js and WebGL handle the underlying three-dimensional rendering. Developers can combine several geographic layers and update them through normal React state and component workflows. The library is suitable for dashboards, geographic analytics, global networks, satellite displays, maps, and other React applications that require interactive spherical visualization. -
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ComfyUI Workflows ZHO
My ComfyUI workflows collection
...It brings together ready-made graphs for systems such as Stable Cascade, SD3, FLUX.1, Hunyuan Video, InstantID, PhotoMaker, and LivePortrait Animals. The repository also includes workflows that combine large language models with diffusion systems. Other examples cover ControlNet, image-to-image generation, inpainting, prompt visualization, upscaling, and 3D-oriented tasks. The JSON workflows can be imported into ComfyUI and adapted to different models or creative goals. It functions as both a practical workflow library and a reference collection for exploring newer ComfyUI techniques. -
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SLAM in Autonomous Driving Book
SLAM Technology in Autonomous Driving
SLAM in Autonomous Driving Book is the open-source code companion to the book SLAM in Autonomous Driving. It focuses on localization and mapping systems that combine LiDAR, IMU, GNSS, and vehicle motion data. The material begins with geometry, kinematics, Kalman filtering, inertial navigation, preintegration, and graph optimization. It then implements point-cloud processing, nearest-neighbor structures, ICP, NDT, scan matching, occupancy grids, and loop closure. Readers build both loosely coupled and tightly coupled LiDAR-inertial odometry systems. ... -
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React Native RAG
Private, local RAGs. Supercharge LLMs with your own knowledge base
...React Native RAG supports multiple integration styles, including a simple hook, a class-based API, and direct component usage. Its main value is giving React Native apps a privacy-friendly way to combine local knowledge retrieval with on-device AI workflows. -
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GO Simple Tunnel
A simple tunnel written in golang
...It supports proxying, port forwarding, reverse proxying, and tunnel-based access to services behind NAT or firewalls. The project is designed around protocol composition, allowing users to combine multiple protocols into multi-level forwarding chains. It can handle TCP and UDP forwarding, transparent proxying, DNS proxying, TUN/TAP workflows, and tun2socks scenarios. GOST also includes operational features such as load balancing, routing control, admission control, rate limiting, dynamic configuration, Prometheus metrics, and a Web API. ... -
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MetaClaw
Just talk to your agent
...The architecture suggests scalability, allowing the system to handle multiple agents or complex workflows simultaneously. It is likely designed for experimentation with next-generation agent systems that combine planning, learning, and execution. Overall, MetaClaw represents a research-driven effort to push the boundaries of intelligent agent coordination and adaptability. -
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One-Person Company
One-Person Company AI Tools Series
...The repository includes workflows, strategies, and system designs that demonstrate how multiple AI agents can collaborate to run different aspects of a business in a coordinated manner. It emphasizes modularity, allowing users to combine different tools and services into a cohesive pipeline that automates end-to-end business processes. The project also highlights the importance of integrating APIs, automation tools, and AI models to create self-sustaining systems that can generate revenue with minimal oversight. -
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Artificial Intelligence for Beginners
12 Weeks, 24 Lessons, AI for All
AI-For-Beginners is a comprehensive open-source educational curriculum designed to introduce learners to the foundations of artificial intelligence through structured lessons and hands-on practice. The repository provides a 12-week program composed of 24 lessons that combine theory, code examples, quizzes, and laboratory exercises. It covers a broad range of topics including neural networks, computer vision, natural language processing, and AI ethics. The curriculum is intentionally beginner-friendly while still exposing learners to widely used frameworks such as TensorFlow and PyTorch. It also supports many languages, making the material accessible to a global audience. ... -
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trackers
Multi-object tracking algorithms
...Trackers is built for flexibility and benchmarking, allowing users to evaluate performance using standard multi-object tracking metrics and compare algorithms easily. Its architecture emphasizes interoperability so developers can combine their preferred detection models with different trackers without rewriting core logic. -
16
Flow-Like
Strongly Typed Enterprise Scale Workflows
...This approach contrasts with traditional two-way binding or manual update patterns by treating flows as the single source of truth, simplifying complex interactions and reducing bugs caused by scattered state logic. Developers can compose and combine flows, establish transformations, and orchestrate asynchronous events using intuitive primitives, resulting in code that is easier to test, maintain, and scale. -
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Python Progressbar
Progressbar 2 - A progress bar for Python 2 and Python 3
A text progress bar is typically used to display the progress of a long-running operation, providing a visual cue that processing is underway. The progressbar is based on the old Python progressbar package that was published on the now-defunct Google Code. Since that project was completely abandoned by its developer and the developer did not respond to my email, I decided to fork the package. This package is still backward compatible with the original progressbar package so you can safely... -
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TensorBoardLogger.jl
Easy peasy logging to TensorBoard with Julia
TensorBoardLogger.jl is a native library for logging arbitrary data to Tensorboard, extending Julia's standard Logging framework. It can also be used to deserialize TensoBoard's .proto files. The fundamental type defined in this package is a TBLogger, which behaves like other standard loggers in Julia such as ConsoleLogger or TextLogger. You can create one by passing it the path to the folder where you want to store the data. You can also pass an optional second argument to specify the... -
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AWESOME DATA SCIENCE
Awesome Data Science repository to learn and apply for real world
...The next steps are producing suggestions from the data and creating predictions about the future. Here you can find the biggest question for Data Science and hundreds of answers from experts. Data scientists combine entrepreneurship with patience, the willingness to build data products incrementally, the ability to explore, and the ability to iterate over a solution. They are inherently interdisciplinary. They can tackle all aspects of a problem, from initial data collection and data conditioning to drawing conclusions. -
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Agentic RAG for Dummies
A modular Agentic RAG built with LangGraph
Agentic RAG for Dummies is an educational repository that demonstrates how to build retrieval-augmented generation systems combined with autonomous AI agents. The project explains the principles behind agentic retrieval pipelines where language models can dynamically decide when to retrieve information, analyze results, and plan further actions. Instead of relying on static retrieval pipelines, the system shows how agents can orchestrate retrieval, reasoning, and tool usage in a more... -
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Vespa
The open big data serving engine
...This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do. Recommendation, personalization and targeting involves evaluating recommender models over content items to select the best ones. Vespa lets you build applications which does this online, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. ... -
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LiveKit Agents
Framework for building realtime multimodal voice AI agents apps
...These agents can join LiveKit rooms as participants and interact with users or systems through speech, text, and other modalities. LiveKit Agents provides libraries and tooling that allow developers to combine speech-to-text, large language models, and text-to-speech services to build interactive AI experiences. It is designed to run server-side and can integrate with various AI model providers and realtime APIs to support different application requirements. LiveKit Agents also includes tools for scheduling and managing agent tasks, making it easier to connect users to automated assistants in live communication scenarios. -
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Rocketnotes
AI-powered markdown editor - leverage LLMs with your documents
RocketNotes is an open-source note-taking application designed to combine traditional knowledge management with artificial intelligence features that enhance how users capture and organize information. The project focuses on providing a fast, lightweight environment where users can create structured notes, manage personal knowledge bases, and interact with AI tools to summarize or expand their content. -
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Jesse
An advanced crypto trading bot written in Python
Jesse is an open-source AI agent framework designed to help developers build and orchestrate intelligent workflows that combine large language models (LLMs) with external tools, automation logic, and real-world actions. It acts as an agent manager where you can define tasks, contexts, and tool integrations so that AI reasoning is reliably connected to deterministic procedures like API calls, data retrieval, and task execution. Jesse emphasizes structured outputs, safety boundaries, and explainable reasoning, helping users design agents that don’t just hallucinate responses but can coordinate steps, validate conditions, and interact with systems predictably. ... -
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Offensive Web Testing Framework
Offensive Web Testing Framework (OWTF), is a framework
OWASP OWTF is a project focused on penetration testing efficiency and alignment of security tests to security standards like the OWASP Testing Guide (v3 and v4), the OWASP Top 10, PTES and NIST so that pentesters will have more time to see the big picture and think out of the box. More efficiently find, verify and combine vulnerabilities. Have time to investigate complex vulnerabilities like business logic/architectural flaws or virtual hosting sessions. Perform more tactical/targeted fuzzing on seemingly risky areas. Demonstrate true impact despite the short timeframes we are typically given to test. The tool is highly configurable and anybody can trivially create simple plugins or add new tests in the configuration files without having any development experience. ...
