Showing 716 open source projects for "python ai"

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  • 1
    hexabot

    hexabot

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

    Hexabot 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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  • 2
    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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  • 3
    An AI educational effort to make realtime multi agent environments. started from scratch with python.
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  • 4

    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 text...
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  • 5
    stable-diffusion-3-medium

    stable-diffusion-3-medium

    Efficient text-to-image model with enhanced quality and typography

    Stable Diffusion 3 Medium is a next-generation text-to-image model by Stability AI, designed using a Multimodal Diffusion Transformer (MMDiT) architecture. It offers notable improvements in image quality, prompt comprehension, typography, and computational efficiency over previous versions. The model integrates three fixed, pretrained text encoders—OpenCLIP-ViT/G, CLIP-ViT/L, and T5-XXL—to interpret complex prompts more effectively. Trained on 1 billion synthetic and filtered public images...
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  • 6
    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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  • 7
    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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  • 8
    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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  • 9
     stable-diffusion-v1-4

    stable-diffusion-v1-4

    Text-to-image diffusion model for high-quality image generation

    ... Diffusers library and supports both PyTorch and JAX/Flax frameworks, offering flexibility across GPUs and TPUs. Though powerful, the model has limitations with compositional logic, photorealism, non-English prompts, and rendering accurate text or faces. Intended for research and creative exploration, it includes safety tools to detect NSFW content but may still reflect dataset biases. Users are advised to follow responsible AI practices and avoid harmful, unethical, or out-of-scope applications.
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  • 10
    stable-diffusion-xl-base-1.0

    stable-diffusion-xl-base-1.0

    Advanced base model for high-quality text-to-image generation

    stable-diffusion-xl-base-1.0 is a next-generation latent diffusion model developed by Stability AI for producing highly detailed images from text prompts. It forms the core of the SDXL pipeline and can be used on its own or paired with a refinement model for enhanced results. This base model utilizes two pretrained text encoders—OpenCLIP-ViT/G and CLIP-ViT/L—for richer text understanding and improved image quality. The model supports two-stage generation, where the base model creates initial...
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  • 11
    stable-diffusion-2-1

    stable-diffusion-2-1

    Latent diffusion model for high-quality text-to-image generation

    Stable Diffusion 2.1 is a text-to-image generation model developed by Stability AI, building on the 768-v architecture with additional fine-tuning for improved safety and image quality. It uses a latent diffusion framework that operates in a compressed image space, enabling faster and more efficient image synthesis while preserving detail. The model is conditioned on text prompts via the OpenCLIP-ViT/H encoder and supports generation at resolutions up to 768×768. Released under the OpenRAIL...
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  • 12
    stable-video-diffusion-img2vid-xt

    stable-video-diffusion-img2vid-xt

    Generates high-quality short videos from a single still image input

    Stable Video Diffusion Img2Vid XT is an advanced image-to-video latent diffusion model developed by Stability AI, designed to generate short video clips from a single static image. It produces 25 frames at 576x1024 resolution, offering improved temporal consistency by fine-tuning from an earlier 14-frame version. The model operates without text prompts and instead uses a single input frame to guide visual generation, making it ideal for stylized motion or animation. It includes both a standard...
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  • 13
    FLUX.1-dev

    FLUX.1-dev

    Powerful 12B parameter model for top-tier text-to-image creation

    FLUX.1-dev is a powerful 12-billion parameter rectified flow transformer designed for generating high-quality images from text prompts. It delivers cutting-edge output quality, just slightly below the flagship FLUX.1 [pro] model, and matches or exceeds many closed-source competitors in prompt adherence. The model is trained using guidance distillation, making it more efficient and accessible for developers and artists alike. FLUX.1-dev is openly available with weights provided to support...
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  • 14
    ControlNet

    ControlNet

    Extension for Stable Diffusion using edge, depth, pose, and more

    ControlNet is a neural network architecture that enhances Stable Diffusion by enabling image generation conditioned on specific visual structures such as edges, poses, depth maps, and segmentation masks. By injecting these auxiliary inputs into the diffusion process, ControlNet gives users powerful control over the layout and composition of generated images while preserving the style and flexibility of generative models. It supports a wide range of conditioning types through pretrained...
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  • 15
    stable-diffusion-3.5-large

    stable-diffusion-3.5-large

    Advanced MMDiT text-to-image model for high-quality visual generation

    Stable Diffusion 3.5 Large is a multimodal diffusion transformer (MMDiT) developed by Stability AI, designed for generating high-quality images from text prompts. It integrates three pretrained text encoders—OpenCLIP-ViT/G, CLIP-ViT/L, and T5-XXL—with QK-normalization for improved training stability and prompt understanding. This model excels in handling typography, detailed scenes, and creative compositions while maintaining resource efficiency. It supports inference via ComfyUI, Hugging Face...
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  • 16

    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. Nontheless you could use it to do many crazy stuff. Enjoy!!!
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  • 17
    gpt-oss-20b

    gpt-oss-20b

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

    ... for better interpretability. It’s released under a permissive Apache 2.0 license, allowing unrestricted commercial and research use. GPT-OSS-20B is compatible with Transformers, vLLM, Ollama, PyTorch, and other tools. It is ideal for developers building lightweight AI agents or experimenting with fine-tuning on consumer-grade hardware.
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  • 18
    DeepSWE-Preview

    DeepSWE-Preview

    State-of-the-art RL-trained coding agent for complex SWE tasks

    DeepSWE-Preview is a 32.8B parameter open-source coding agent trained solely with reinforcement learning (RL) to perform complex software engineering (SWE) tasks. Built on top of Qwen3-32B, it achieves 59% accuracy on the SWE-Bench-Verified benchmark—currently the highest among open-weight models. The model navigates and edits large codebases using tools like a file editor, bash execution, and search, within the R2E-Gym environment. Its training emphasizes sparse reward signals, test-time...
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  • 19
    Llama-3.1-8B-Instruct

    Llama-3.1-8B-Instruct

    Multilingual 8B-parameter chat-optimized LLM fine-tuned by Meta

    ...), and high-quality human and synthetic safety data. It excels at conversational AI, tool use, coding, and multilingual reasoning, achieving strong performance across a wide range of academic and applied benchmarks. The model is released under the Llama 3.1 Community License, which permits commercial use for organizations with fewer than 700 million monthly active users, provided they comply with Meta’s Acceptable Use Policy.
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  • 20
    chatglm-6b

    chatglm-6b

    Bilingual 6.2B parameter chatbot optimized for Chinese and English

    ChatGLM-6B is a 6.2 billion parameter bilingual language model developed by THUDM, based on the General Language Model (GLM) framework. It is optimized for natural and fluent dialogue in both Chinese and English, supporting applications in conversational AI, question answering, and assistance. Trained on approximately 1 trillion tokens, the model benefits from supervised fine-tuning, feedback self-training, and reinforcement learning with human feedback to align its outputs with human...
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  • 21
    Llama-3.3-70B-Instruct

    Llama-3.3-70B-Instruct

    Llama-3.3-70B-Instruct is a multilingual AI optimized for helpful chat

    Llama-3.3-70B-Instruct is Meta's large, instruction-tuned language model designed for safe, multilingual, assistant-style conversations and text generation. With 70 billion parameters, it supports English, Spanish, French, German, Italian, Portuguese, Hindi, and Thai, offering state-of-the-art performance across a wide range of benchmarks including MMLU, HumanEval, and GPQA. The model is built on a transformer architecture with grouped-query attention, trained on over 15 trillion tokens and...
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  • 22
    Dia-1.6B

    Dia-1.6B

    Dia-1.6B generates lifelike English dialogue and vocal expressions

    ... on enterprise GPUs, though CPU and quantized versions are planned. The format supports [S1]/[S2] tags to differentiate speakers and integrates easily into Python workflows. While not tuned to a specific voice, user-provided audio can guide output style. Licensed under Apache 2.0, Dia is intended for research and educational use, with explicit restrictions on misuse like identity mimicry or deceptive content.
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  • 23
    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.
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  • 24
    ERNIE-4.5-300B-A47B-FP8-Paddle

    ERNIE-4.5-300B-A47B-FP8-Paddle

    ERNIE 4.5 MoE model in FP8 for efficient high-performance inference

    .... It is especially well-suited for production environments requiring high throughput and lower memory use, while maintaining high reasoning and generation quality. The model can be used with FastDeploy and integrates cleanly with Python APIs for prompt-based generation workflows. It supports long context lengths (up to 131,072 tokens) and includes both Chinese and English prompt templates for web search applications.
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  • 25
    starcoder

    starcoder

    Code generation model trained on 80+ languages with FIM support

    StarCoder is a 15.5B parameter language model developed by BigCode for code generation tasks across more than 80 programming languages. It is trained on 1 trillion tokens from the permissively licensed dataset The Stack v1.2, using the Fill-in-the-Middle (FIM) objective and Multi-Query Attention to enhance performance. With an extended context window of 8192 tokens and pretraining in bfloat16, StarCoder can generate, complete, or refactor code in various languages, with English as the...
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