Showing 1724 open source projects for "python ai"

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  • 1

    Savant

    Python Computer Vision & Video Analytics Framework With Batteries Incl

    Savant is an open-source, high-level framework for building real-time, streaming, highly efficient multimedia AI applications on the Nvidia stack. It helps to develop dynamic, fault-tolerant inference pipelines that utilize the best Nvidia approaches for data center and edge accelerators. Savant is built on DeepStream and provides a high-level abstraction layer for building inference pipelines. It is designed to be easy to use, flexible, and scalable. It is a great choice for building...
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  • 2

    VGA Planets AI

    An AI player for VGA planets, utilizing the planets.nu API

    This project serves two functions. It's primary function is to help teach myself Pyton. It's secondary function is to act as a computer AI player for an internet game, VGA Planets as implemented on VGA Planets Nu. The AI is modular, with pieces being implemented one at a time. Currently, VGAP Nu does not support uploading turn results, so actions and commands are printed out, and have to be executed by hand.
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  • 3
    Support For Card Games in Python. In particular, support for Poker, with classes for Cards, Decks, Hands, Tables, Hand Classification, and AI for hand play.
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  • 4
    nannY is short for Not another neural network! Why!?! and that's just what this is all about. nannY is supposed to be an easy to extend python implementation of artificial neural networks.
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  • 5
    A Python translation of Piqle with Traits for simplified simulation with reinforcement learning agents.
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  • 6
    QSO-Graph

    QSO-Graph

    Ham radio MCP servers for AI Agents — 71 tools, 11 packages

    QSO-Graph is a suite of 11 MCP (Model Context Protocol) servers for amateur radio operators. Provides AI-powered access to QRZ, eQSL, LoTW, HamQTH, POTA, SOTA, IOTA, WSPR, solar weather, ADIF parsing, and HF Description: Propagation analytics. Native installers for Windows (InnoSetup) and Linux (RPM). All servers also available via pip from PyPI. Source code at github.com/qso-graph.
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  • 7
    NewsNotFound

    NewsNotFound

    This is the entire source code for NewsNotFound's article gen process

    Our mission is to lead the way in AI journalism by providing completely neutral and unbiased news articles that can be governed by the public. NewsNotFound is a news website located at https://newsnotfound.com. We want to build the most unbiased news platform on the internet.
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  • 8
    Hexabot v2

    Hexabot v2

    Hexabot is an open-source AI chatbot / agent builder.

    Hexabot v2 is an open-source AI chatbot / agent solution. It allows you to create and manage multi-channel, and multilingual chatbots / agents with ease. Hexabot is designed for flexibility and customization, offering powerful text-to-action capabilities. Originally a closed-source project (version 1), we've now open-sourced version 2 to contribute to the community and enable developers to customize and extend the platform with extensions.
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  • 9

    scripthea

    Scripthea is designed to streamline of crafting prompts for T2I gen.

    Scripthea is a free, open-source Windows application designed to streamline the process of crafting prompts for text-to-image AI generators like Stable Diffusion. Scripthea offers a structured environment for building, testing, and refining prompts, making it an invaluable tool for artists, designers, and AI enthusiasts seeking greater control over their creative outputs. At its core, Scripthea simplifies prompt engineering by breaking down prompts into two components: cues (descriptive...
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  • 10
    llmverify-npm

    llmverify-npm

    You need a safety layer between your LLM and your users.

    Stop shipping unsafe AI output. Local-first verification, safety monitoring, and guardrails for any LLM 100% Local | No Telemetry | Privacy-First | 500 free calls/day Links Product Page: subodhkc.com/products/llmverify npm: npmjs.com/package/llmverify GitHub: github.com/subodhkc/llmverify-npm Python Package (PyPI): github.com/subodhkc/llmverify Author: Subodh KC — AI governance, compliance, and security leader Feature One-liner What it catches Verify output await verify(aiResponse) Hallucinations, harmful content, quality issues Block injections isInputSafe(userMessage) Prompt injection, jailbreaks, malicious input Redact PII redactPII(text) Emails, phones, SSNs, credit cards, API keys Fix broken JSON repairJSON(broken) Missing brackets, trailing commas, unquoted keys Monitor health monitorLLM(client) Latency spikes, token drift, behavioral changes Sentinel tests sentinel.quick(client, model) LLM regressions b
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  • 11
    An AI educational effort to make realtime multi agent environments. started from scratch with python.
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  • 12
    Smarter Orcs is a mod for the Civilization 4 mod Fall From Heaven. It aims to improve the AI in the game. In a first step, it will merge the existing Better AI project with FFH. Next, we will address the AI's performance with FFH's unique features.
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  • 13
    Cellicone is a project to develop an artificial life organism with the necessary components to make it comparable to biological life as we know it. This includes components ranging from proteins to cells to organs to limbs, and many steps between.
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  • 14

    SynquoRum

    Multi-AI workspace with persistent cross-session memory via MCP

    SynquoRum is a multi-AI workspace for people who use multiple language models daily and are tired of fragmented context when switching tools. Most AI products treat memory as belonging to the model. Every new session starts from zero. SynquoRum inverts this: memory belongs to the workspace, not to any specific agent. Through an MCP (Model Context Protocol) server with 22 tools, the workspace exposes its memory to any MCP-compatible client — Claude.ai, Cursor, Cline, custom agents — so the...
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  • 15
    Relaxing game, simulating fishing process. The goal is highly realistic (photo-like) vizualisation. Fully simulated physical world, including rod, fishes, water, streams, weeds, bottom relief, plants, etc Pyhton-based fish AI for each type
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  • 16
    DeepSeek-V3.2

    DeepSeek-V3.2

    High-efficiency reasoning and agentic intelligence model

    DeepSeek-V3.2 is a cutting-edge large language model developed by DeepSeek-AI, focused on achieving high reasoning accuracy and computational efficiency for agentic tasks. It introduces DeepSeek Sparse Attention (DSA), a new attention mechanism that dramatically reduces computational overhead while maintaining strong long-context performance. Built with a scalable reinforcement learning framework, it reaches near-GPT-5 levels of reasoning and outperforms comparable models like DeepSeek-V3.1...
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  • 17
    gpt-oss-20b

    gpt-oss-20b

    OpenAI’s compact 20B open model for fast, agentic, and local use

    GPT-OSS-20B is OpenAI’s smaller, open-weight language model optimized for low-latency, agentic tasks, and local deployment. With 21B total parameters and 3.6B active parameters (MoE), it fits within 16GB of memory thanks to native MXFP4 quantization. Designed for high-performance reasoning, it supports Harmony response format, function calling, web browsing, and code execution. Like its larger sibling (gpt-oss-120b), it offers adjustable reasoning depth and full chain-of-thought visibility...
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  • 18

    PyCBR

    This project aims to provide a simple python interface for CBR

    Case base reasoninig is one of the primitive AI techniques in existance. Infact it's one of the laziest. Implementation however takes some effort. Python is one of the most to used languages that is becoming popular in every community for its simplicity & ease of learning. It has an interface for wordnet (through nltk tools) which brings us why pyCBR exists. This script is still in its infant stage of CBR & script matching.
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  • 19
    Mellum-4b-base

    Mellum-4b-base

    JetBrains’ 4B parameter code model for completions

    Mellum-4b-base is JetBrains’ first open-source large language model designed and optimized for code-related tasks. Built with 4 billion parameters and a LLaMA-style architecture, it was trained on over 4.2 trillion tokens across multiple programming languages, including datasets such as The Stack, StarCoder, and CommitPack. With a context window of 8,192 tokens, it excels at code completion, fill-in-the-middle tasks, and intelligent code suggestions for professional developer tools and IDEs....
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  • 20
    Dia-1.6B

    Dia-1.6B

    Dia-1.6B generates lifelike English dialogue and vocal expressions

    Dia-1.6B is a 1.6 billion parameter text-to-speech model by Nari Labs that generates high-fidelity dialogue directly from transcripts. Designed for realistic vocal performance, Dia supports expressive features like emotion, tone control, and non-verbal cues such as laughter, coughing, or sighs. The model accepts speaker conditioning through audio prompts, allowing limited voice cloning and speaker consistency across generations. It is optimized for English and built for real-time performance...
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  • 21

    Self‑Healing Localization

    Self‑Healing Localization is a lightweight Python library.

    Self-Healing Localization Layer (SHL) is a Python localization engine that automatically creates, synchronizes, and maintains language files throughout the lifetime of your application.
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  • 22
    Fitbit WebService

    Fitbit WebService

    STEROID for your next health & fitness app!

    A web service built on top of Fitbit API's to ease custom web development. This has been a small part of my work in creating an AI for myself. I had to put together a lot of research in finding the right elements to have this final web service which is stress tested. I hope this will ease the life of many software engineers who aspire to build on top of Fitbit API's.
    Downloads: 0 This Week
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  • 23
    Hunyuan-MT-7B

    Hunyuan-MT-7B

    Tencent’s 36-language state-of-the-art translation model

    Hunyuan-MT-7B is a large-scale multilingual translation model developed by Tencent, designed to deliver state-of-the-art translation quality across 36 languages, including several Chinese ethnic minority languages. It forms part of the Hunyuan Translation Model family, alongside Hunyuan-MT-Chimera, which ensembles outputs for even higher accuracy. Trained with a comprehensive framework spanning pretraining, cross-lingual pretraining, supervised fine-tuning, enhancement, and ensemble...
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  • 24
    DeepSeek-V3.2-Speciale

    DeepSeek-V3.2-Speciale

    High-compute ultra-reasoning model surpassing model surpassing GPT-5

    DeepSeek-V3.2-Speciale is the high-compute, ultra-reasoning variant of DeepSeek-V3.2, designed specifically to push the boundaries of mathematical, logical, and algorithmic intelligence. It builds on the DeepSeek Sparse Attention (DSA) framework, delivering dramatically improved long-context efficiency while preserving full model quality. Unlike the standard version, Speciale is tuned exclusively for deep reasoning and therefore does not support tool-calling, focusing its full capacity on...
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