Search Results for "python ai game" - Page 24

Showing 2949 open source projects for "python ai game"

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  • 1
    Kitty-Tools

    Kitty-Tools

    Kitty-Tools is a Kahoot Cheating Client for all devices and interfaces

    Kitty-Tools is a multi-platform client designed to interact with Kahoot games by providing automation and enhanced control features that go beyond the standard user experience. It is built to run across a wide range of environments including desktop systems, web interfaces, and even embedded or microcontroller-based setups, emphasizing accessibility and ease of use. The project focuses on simplifying interaction with Kahoot sessions by offering tools that can automate participation,...
    Downloads: 33 This Week
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  • 2
    DeepSeek-V3

    DeepSeek-V3

    Powerful AI language model (MoE) optimized for efficiency/performance

    DeepSeek-V3 is a robust Mixture-of-Experts (MoE) language model developed by DeepSeek, featuring a total of 671 billion parameters, with 37 billion activated per token. It employs Multi-head Latent Attention (MLA) and the DeepSeekMoE architecture to enhance computational efficiency. The model introduces an auxiliary-loss-free load balancing strategy and a multi-token prediction training objective to boost performance. Trained on 14.8 trillion diverse, high-quality tokens, DeepSeek-V3...
    Downloads: 61 This Week
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  • 3
    Qlib

    Qlib

    Qlib is an AI-oriented quantitative investment platform

    Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib. With Qlib, users can easily try their ideas to create better Quant investment strategies. At the module level, Qlib is a platform that consists of...
    Downloads: 2 This Week
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  • 4
    SAM 3

    SAM 3

    Code for running inference and finetuning with SAM 3 model

    SAM 3 (Segment Anything Model 3) is a unified foundation model for promptable segmentation in both images and videos, capable of detecting, segmenting, and tracking objects. It accepts both text prompts (open-vocabulary concepts like “red car” or “goalkeeper in white”) and visual prompts (points, boxes, masks) and returns high-quality masks, boxes, and scores for the requested concepts. Compared with SAM 2, SAM 3 introduces the ability to exhaustively segment all instances of an...
    Downloads: 30 This Week
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  • 5
    DreamCraft3D

    DreamCraft3D

    Official implementation of DreamCraft3D

    DreamCraft3D is DeepSeek’s generative 3D modeling framework / model family that likely extends their earlier 3D efforts (e.g. Shap-E or Point-E style models) with more capability, control, or expression. 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...
    Downloads: 1 This Week
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  • 6
    Cha

    Cha

    Deprecated AI CLI for terminal based interactions

    Cha is a command-line AI assistant for terminal-based interaction with large language models. It was designed to let developers chat with AI from the terminal while keeping control over the workflow and environment. The repository now serves as a historical reference because active development moved to Ch, a faster Go-based successor. Cha included support materials such as optional search setup assets, including SearXNG-related configuration instructions. Its value today is mostly archival,...
    Downloads: 0 This Week
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  • 7
    MCP Server Qdrant

    MCP Server Qdrant

    An official Qdrant Model Context Protocol (MCP) server implementation

    The Qdrant MCP Server is an official Model Context Protocol server that integrates with the Qdrant vector search engine. It acts as a semantic memory layer, allowing for the storage and retrieval of vector-based data, enhancing the capabilities of AI applications requiring semantic search functionalities. ​
    Downloads: 4 This Week
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  • 8
    PRINTFILM

    PRINTFILM

    AI video customer acquisition and AI short drama creation platform

    PRINTFILM is an open-source AI video creation platform for producing animated dramas, short-form videos, and promotional content. Its workflow turns a topic or script into storyboards, generated images, generated video, and a finished composition. Long-form projects can manage outlines, episodes, scripts, characters, scenes, props, and reusable visual assets. Short-video workflows include more than 20 style templates and allow individual shots to be regenerated without restarting the entire...
    Downloads: 0 This Week
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  • 9
    Keep Codex Fast

    Keep Codex Fast

    A backup-first Codex skill for keeping local Codex state fast

    Keep Codex Fast is a backup-first Codex skill for keeping local Codex state clean, fast, and recoverable after heavy use. It is designed for users whose Codex environment has accumulated long chats, logs, worktrees, project history, and local metadata over time. The project emphasizes inspection before action, so its default mode reports what has grown without changing files. When applied manually, it backs up first, archives old sessions, rotates large logs, moves stale worktrees, and...
    Downloads: 0 This Week
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  • 10
    AlphaFold 3

    AlphaFold 3

    AlphaFold 3 inference pipeline

    AlphaFold 3, developed by Google DeepMind, is an advanced deep learning system for predicting biomolecular structures and interactions with exceptional accuracy. This repository provides the complete inference pipeline for running AlphaFold 3, though access to the model parameters is restricted and must be obtained directly from Google under specific terms of use. The system is designed for scientific research applications in structural biology, biochemistry, and bioinformatics, enabling...
    Downloads: 16 This Week
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  • 11
    Bonsai 27B

    Bonsai 27B

    Run Bonsai (1-bit) and Ternary-Bonsai language models locally

    Bonsai 27B is a repository for downloading, configuring, and running PrismML’s highly compressed Bonsai language models on local hardware. It supports the 1-bit Bonsai and higher-quality Ternary-Bonsai families in 1.7B, 4B, 8B, and 27B sizes. The models can run on macOS, Linux, and Windows through CPU, Metal, CUDA, Vulkan, ROCm, llama.cpp, or MLX backends. Its 27B models process text, images, screenshots, and PDFs while supporting reasoning and long-context conversations. They also provide...
    Downloads: 28 This Week
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  • 12
    MarkPDFDown

    MarkPDFDown

    A high-quality PDF to Markdown tool based on large language model

    MarkPDFdown is an open-source document processing tool designed to convert PDF files into structured Markdown output that can be easily used for documentation, content pipelines, and AI processing workflows. The project focuses on extracting text, formatting, and structural information from complex PDF documents and transforming that information into clean Markdown that preserves the original hierarchy of headings, paragraphs, tables, and lists. By producing Markdown rather than raw text,...
    Downloads: 5 This Week
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  • 13
    Cube Studio

    Cube Studio

    Cube Studio open source cloud native one-stop machine learning

    Cube Studio is an open-source, cloud-native end-to-end machine learning and AI platform designed to support the full lifecycle of AI development — from data preparation and interactive notebook coding to distributed training, model tuning, and deployment in production-ready environments. It provides a unified interface where teams can manage data sources, track datasets, and build pipelines using drag-and-drop workflow orchestration, making it accessible for both engineers and data...
    Downloads: 5 This Week
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  • 14
    GPT4All

    GPT4All

    Run Local LLMs on Any Device. Open-source

    ...The software provides a simple, user-friendly application that can be downloaded and run on various platforms, including Windows, macOS, and Ubuntu, without requiring specialized hardware. It integrates with the llama.cpp implementation and supports multiple LLMs, allowing users to interact with AI models privately. This project also supports Python integrations for easy automation and customization. GPT4All is ideal for individuals and businesses seeking private, offline access to powerful LLMs.
    Downloads: 107 This Week
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  • 15
    Recommenders 2023

    Recommenders 2023

    Best Practices on Recommendation Systems

    Recommenders objective is to assist researchers, developers and enthusiasts in prototyping, experimenting with and bringing to production a range of classic and state-of-the-art recommendation systems. Recommenders is a project under the Linux Foundation of AI and Data.
    Downloads: 0 This Week
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  • 16
    Lutris

    Lutris

    Lutris desktop client in Python

    Lutris is a video game preservation platform aiming to keep your video game collection up and running for the years to come. Over the years, video games have gone through many different hardware and software platforms. By offering the best software available to run your games, Lutris makes it easy to run all your games, old and new. We provide emulators, compatibility layers and game engine re-implementations needed to run games in the most optimal way, often offering an enhanced experience...
    Downloads: 25 This Week
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  • 17
    MemMachine

    MemMachine

    Universal memory layer for AI Agents

    ...It offers flexible APIs, a Python SDK, REST interfaces, and MCP (Model Context Protocol) connectivity to integrate seamlessly with agent frameworks receiving and storing memories over time, effectively boosting relevance, continuity, and tailored behavior.
    Downloads: 2 This Week
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  • 18
    Swarms

    Swarms

    Enterprise multi-agent orchestration framework for scalable AI apps

    Swarms is an enterprise-grade multi-agent orchestration framework designed to help developers build, manage, and scale collaborative AI systems composed of multiple agents. It provides a structured infrastructure for coordinating agents in hierarchical, parallel, or sequential workflows, enabling complex task execution across distributed components. It emphasizes production readiness, offering modular architecture, high availability, and observability features suitable for large-scale...
    Downloads: 1 This Week
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  • 19
    ROSA

    ROSA

    I Agent designed to interact with ROS1- and ROS2-based robotics system

    ROSA, short for Robot Operating System Agent, is an AI-powered software assistant developed by NASA’s Jet Propulsion Laboratory to simplify interaction with robotic systems that use the Robot Operating System (ROS). The project provides a natural language interface that allows developers and operators to interact with robots by issuing commands or queries in conversational language. Built on top of frameworks such as LangChain and modern large language models, ROSA translates user...
    Downloads: 4 This Week
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  • 20
    Z80-μLM

    Z80-μLM

    Z80-μLM is a 2-bit quantized language model

    Z80-μLM is a retro-computing AI project that demonstrates a tiny language model (Z80-μLM) engineered to run on an 8-bit Z80 CPU by aggressively quantizing weights down to 2-bit precision. The repository provides a complete workflow where you train or fine-tune conversational models in Python, then export them into a format that can be executed on classic Z80 systems.
    Downloads: 0 This Week
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  • 21
    Surya

    Surya

    Implementation of the Surya Foundation Model for Heliophysics

    Surya is an open‑source, AI‑based foundation model for heliophysics developed collaboratively by NASA (via the IMPACT AI team) and IBM. Named after the Sanskrit word for “sun,” Surya is trained on nine years of high‑resolution solar imagery from NASA’s Solar Dynamics Observatory (SDO). It is designed to forecast solar phenomena—such as flares, solar wind, irradiance, and active region behavior—by predicting future solar images with a sophisticated long–short vision transformer architecture,...
    Downloads: 4 This Week
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  • 22
    Memvid

    Memvid

    Video-based AI memory library. Store millions of text chunks in MP4

    Memvid encodes text chunks as QR codes within MP4 frames to build a portable “video memory” for AI systems. This innovative approach uses standard video containers and offers millisecond-level semantic search across large corpora with dramatically less storage than vector DBs. It's self-contained—no DB needed—and supports features like PDF indexing, chat integration, and cloud dashboards.
    Downloads: 2 This Week
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  • 23
    Tauric TradingAgents

    Tauric TradingAgents

    Multi-Agents LLM Financial Trading Framework

    Tauric TradingAgents is a multi-agent AI framework designed for financial analysis, strategy generation, and automated trading workflows. It coordinates multiple specialized agents that collaborate on tasks such as data analysis, signal generation, and risk evaluation. The system enables complex reasoning by distributing responsibilities across agents, improving decision-making quality. It supports integration with market data sources and trading environments for real-world application. The...
    Downloads: 10 This Week
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  • 24
    Colab-MCP

    Colab-MCP

    An MCP server for interacting with Google Colab

    Colab-MCP is an open-source Model Context Protocol server developed by Google that enables AI agents to directly interact with and control Google Colab environments programmatically, transforming Colab into a fully automated, agent-accessible workspace. Instead of relying on manual notebook usage, the system allows MCP-compatible agents to execute code, manage files, install dependencies, and orchestrate entire development workflows within Colab’s cloud infrastructure. This approach bridges...
    Downloads: 2 This Week
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  • 25
    Cactus

    Cactus

    Low-latency AI inference engine optimized for mobile devices

    Cactus is a low-latency, energy-efficient AI inference framework designed specifically for mobile devices and wearables, enabling advanced machine learning capabilities directly on-device. It provides a full-stack architecture composed of an inference engine, a computation graph system, and highly optimized hardware kernels tailored for ARM-based processors. Cactus emphasizes efficient memory usage through techniques such as zero-copy computation graphs and quantized model formats, allowing...
    Downloads: 2 This Week
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