Search Results for "autonomous car python" - Page 6
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Showing 185 open source projects for "autonomous car python"
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TaskWeaver
A code-first agent framework for seamlessly planning analytics tasks
TaskWeaver is a multi-agent AI framework designed for orchestrating autonomous agents that collaborate to complete complex tasks. -
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Tartube
Download videos/channels/playlists from YouTube and many other sites
Tartube is a GUI front-end for youtube-dl, yt-dlp and other compatible video downloaders. It is written in Python 3 / Gtk 3 and runs on MS Windows, Linux, BSD and MacOS. -
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Flexe
The open source federated learning for vehicular network simulation
Flexe is a FL simulator designed for connected and autonomous vehicles (CAVs). It enables horizontal/vertical/transfer FL schemes and simulates realistic wireless and vehicular dynamics. Separate Python client (PyFlexe) available. -
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iX
Autonomous GPT-4 agent platform
IX is a platform for designing and deploying autonomous and [semi]-autonomous LLM-powered agents and workflows. IX provides a flexible and scalable solution for delegating tasks to AI-powered agents. Agents created with the platform can automate a wide variety of tasks while running in parallel and communicating with each other. -
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CAP Cordum Agent Protocol
The Open Standard for Secure AI Agent Orchestration.
The Cordum Agent Protocol (CAP) is the open infrastructure standard for the Agentic Era. It is a high-performance, language-agnostic wire protocol designed to connect, manage, and govern autonomous AI agents at scale. Built on NATS (messaging) and Redis (state), CAP replaces fragile point-to-point API integrations with a robust, event-driven backbone. It decouples agent logic from governance, enabling a "Zero-Copy" architecture where sensitive data remains local while only secure pointers travel the wire. This allows enterprises to enforce policy guardrails across heterogeneous fleets (Python, Go, Node.js) without modifying agent code. ... -
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Dosidicus
Tamagotchi-style digital pet with a neural network that can learn
Tamagotchi-style digital pet squid with a simple neural network https://github.com/ViciousSquid/Dosidicus/wiki Includes tools for visualising and understanding neural networks Design your own squid brain with GUI tools - watch it evolve and learn! The squid makes autonomous decisions based on current state (hunger, sleepiness, etc.). Implements a vision cone for food detection, simulating realistic foraging behavior. Hebbian learning algorithm runs every 30 seconds... -
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Elliptical_Controller
Hardware and software controls for a self powered elliptical machine.
Hardware and software control of a self powered elliptical machine using an Arduino Nano. Tkinter is used both as a GUI and as a multithreading environment. Programming model is an industrial network with autonomous workcells communicating with each other. Each workcell is instantiated anonymously, maintains its own state and is completely private. Message passing between workcells is done over a virtual network. All control loops are single bit with 16 bit resolution without using analog... -
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Petoron-P2P-Messenger
minimalistic, secure and autonomous P2P messenger
Petoron P2P Messenger (P-P2P-M) Architecture: Pure P2P - no servers, no databases Key storage: Keys generated in memory, never stored, erased after use Metadata: Only IP and port exist during the session - everything else is encrypted & obfuscated Encryption: PQS v1.2 - PBKDF2-HMAC-SHA256 (200k), BLAKE2s-MAC, custom stream cipher + fake padding Authentication: BLAKE2s-MAC (16 bytes) - instant failure on any data change Packet obfuscation: --stealth mode - padding, hidden... -
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Shinkai: Local AI Agents
Shinkai allows you to create advanced AI (local) agents effortlessly
Shinkai is a free, open-source AI platform that lets anyone create powerful AI agents without coding. These agents can collaborate with each other, handle complex tasks, and operate in decentralized crypto environments. Key Features: - No-Code Agent Creation - Build specialized agents (trading bots, sentiment trackers, etc.) with simple descriptions - Multi-Agent Collaboration - Agents work together to solve complex problems - Crypto Integration - Built-in support for decentralized... -
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Spyder AI Chat Plugin
Spyder IDE plugin providing separate chat pane for AI Assistance
An OpenAI-compatible chat pane for Spyder 6.1+. Supports OpenAI, Ollama, LM Studio, and any other server that exposes an OpenAI-compatible /v1/chat/completions endpoint. Installation with PyPi in the same environment as Spyder IDE: (spyder) $ pip install spyder-ai-chat Or from source: # clone / download and unzip the project source code, then: (spyder) $ cd spyder_ai_chat (spyder) $ pip install -e . -
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SuperAGI
A dev-first open source autonomous AI agent framework
An open-source autonomous AI framework to enable you to develop and deploy useful autonomous agents quickly & reliably. Join a community of developers constantly contributing to make SuperAGI better. Access your agents through a graphical user interface. Interact with agents by giving them input, permissions, etc. Agents typically learn and improve their performance over time with feedback loops. Run multiple agents simultaneously to improve efficiency and productivity. Connect to multiple... -
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Ailice
AIlice is a fully autonomous, general-purpose AI agent
AIlice is an open-source autonomous AI agent framework built to function as a general-purpose assistant that can plan, decompose, and execute complex tasks through a structured multi-agent architecture. The project presents itself as a standalone assistant powered by open-source language models, with an internal design that treats user requests almost like executable programs rather than simple chat prompts. Its core IACT architecture allows the system to break large goals into smaller... -
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NKTgLaw
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core implementation, REST/gRPC API, and 150+ client wrappers -
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ChatArena
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments
ChatArena is a library that provides multi-agent language game environments and facilitates research about autonomous LLM agents and their social interactions. -
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XAgent
An Autonomous LLM Agent for Complex Task Solving
XAgent is an AI-driven autonomous agent framework capable of handling multi-step tasks across different domains. It enables AI agents to perform decision-making, task planning, and self-learning based on user-defined objectives, making it ideal for automation and research applications. -
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WebArena
Code repo for "WebArena to build Autonomous Agents
WebArena is a realistic web environment designed for building and testing autonomous agents, providing a platform for developing web-based AI agents. -
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py_automata
Virtual machines communicating over a virtual network.
By using virtual machines, known as workcells, to communicate with other virtual machines over a virtual network, creating complex event driven programs becomes very simple. For example, the USB port interface is completely autonomous and doesn't have an API. Instead, it interacts with other workcells by receiving three request messages, 'Read', 'Write' and 'Query' and transmitting 'Read' and 'Write' status messages. This is based on the industrial automation programming model where complex... -
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usb-loadcell
USB loadcell meter using an MCP2210 chip to interface with an HX711
An MCP2210 chip along with a CD74HC132E quad Nand gate used as glue logic is used to interface with an HX711 load cell amplifier. Python along with the PyUSB library is used for control. Tkinter is used as both a visual interface and thread manager. The program uses workcells which are virtual autonomous machines which communicate over a virtual peer to peer network. This results in a very simple asynchronous event driven program environment. Communication between workcells is done by message passing along with an object as payload. ... -
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Adala
Adala: Autonomous DAta (Labeling) Agent framework
Adala is a data-centric AI framework focused on dataset curation, annotation, and validation. It helps AI teams manage high-quality training datasets by providing tools for data auditing, error detection, and quality assessment. -
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YoloV3 Implemented in TensorFlow 2.0
YoloV3 Implemented in Tensorflow 2.0
YoloV3 Implemented in TensorFlow 2.0 is built using TensorFlow 2.0. The project provides a modern deep learning implementation of the popular YOLOv3 algorithm, which is widely used for real-time object detection in images and video streams. YOLOv3 works by dividing an image into grid regions and predicting bounding boxes and class probabilities simultaneously, allowing objects to be detected quickly and efficiently. The repository includes training scripts, inference tools, and configuration... -
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LangChain Apps on Production with Jina
Langchain Apps on Production with Jina & FastAPI
Jina is an open-source framework for building scalable multi-modal AI apps on Production. LangChain is another open-source framework for building applications powered by LLMs. long-chain-serve helps you deploy your LangChain apps on Jina AI Cloud in a matter of seconds. You can benefit from the scalability and serverless architecture of the cloud without sacrificing the ease and convenience of local development. And if you prefer, you can also deploy your LangChain apps on your own... -
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Free-Auto-GPT
Free AutoGPT enables autonomous AI tasks without paid APIs
Free Auto GPT is an open source project that delivers a simplified version of an autonomous AI agent capable of completing tasks independently. It allows users to run an AutoGPT-style system without relying on paid OpenAI APIs, making it more accessible for experimentation and personal use. Free Auto GPT can take a goal, break it into smaller steps, and execute actions in a loop to achieve results with minimal human input. Designed for ease of use, the project focuses on removing cost... -
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workcells
Object based peer to peer asynchronous communication network.
A workcell is an anonymously instantiated object which communicates with other similar objects using a message based asynchronous network. This model is base don industrial automation which uses autonomous workcells and simple networking. A star topology is used where all workcells connect to a central hub, also a workcell, which queues and forwards messages between objects. A workcell is derived from a high level Tkinter class like Toplevel, Labelframe or Frame and a Transceiver class for... -
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AB3DMOT
Official Python Implementation for "3D Multi-Object Tracking
AB3DMOT is a real-time 3D multi-object tracking framework designed for applications such as autonomous driving and robotics perception. The system processes detection results from 3D object detectors that analyze LiDAR point clouds and uses them to track multiple objects across consecutive frames. Its tracking pipeline relies on a combination of classical algorithms, including a Kalman filter for state estimation and the Hungarian algorithm for data association between detected objects and... -
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ImgXmrk
Place marks on image files
Place marks on image files without actually modifying the image. All marks are defined in side-car files with the extension .xmrk
