Showing 192 open source projects for "support"

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    AI-generated apps that pass security review

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    Gemini 3 and 200+ AI Models on One Platform

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  • 1
    OpenCompass

    OpenCompass

    OpenCompass is an LLM evaluation platform

    Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue type prompt templates, to easily stimulate the maximum performance of various models.
    Downloads: 0 This Week
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  • 2
    hCaptcha Challenger

    hCaptcha Challenger

    Gracefully face hCaptcha challenge with multimodal llms

    ...Instead of relying on third-party captcha-solving services or browser scripts, the system operates independently by using pretrained neural networks that can classify images, detect objects, and interpret spatial relationships. The framework includes support for multiple types of captcha challenges such as object selection, drag-and-drop puzzles, and image labeling tasks. It implements an agent-style workflow where the system interprets the challenge prompt, selects the appropriate vision model, and generates the required interaction automatically.
    Downloads: 2 This Week
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  • 3
    BruteForceAI

    BruteForceAI

    Advanced LLM-powered brute-force tool combining AI intelligence

    BruteForceAI is an open-source security testing tool that applies large language models to the analysis of login forms and authentication flows in web applications. At a high level, the project uses AI to inspect HTML content, identify the relevant form elements, and automate selector discovery so that a tester does not need to hand-map every field before evaluation. It combines that analysis layer with automated credential testing workflows, framing itself as a more adaptive alternative to...
    Downloads: 10 This Week
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  • 4
    Claude Code Tools

    Claude Code Tools

    Practical productivity tools for Claude Code, Codex-CLI

    Claude Code Tools is an open-source collection of command-line utilities and productivity plugins designed to enhance developer workflows when using AI coding agents such as Claude Code and Codex-CLI. The project focuses on solving common problems encountered in AI-assisted development environments, including managing session history, automating terminal interactions, and maintaining context across multiple coding sessions. It includes tools that allow developers to search conversation logs...
    Downloads: 11 This Week
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  • Fully Managed MySQL, PostgreSQL, and SQL Server Icon
    Fully Managed MySQL, PostgreSQL, and SQL Server

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  • 5
    CodeGeeX

    CodeGeeX

    CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

    CodeGeeX is a large-scale multilingual code generation model with 13 billion parameters, trained on 850B tokens across more than 20 programming languages. Developed with MindSpore and later made PyTorch-compatible, it is capable of multilingual code generation, cross-lingual code translation, code completion, summarization, and explanation. It has been benchmarked on HumanEval-X, a multilingual program synthesis benchmark introduced alongside the model, and achieves state-of-the-art...
    Downloads: 10 This Week
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  • 6
    Dynamiq

    Dynamiq

    An orchestration framework for agentic AI and LLM applications

    ...The framework supports the creation of multi-agent systems where different AI agents collaborate to solve tasks such as information retrieval, document analysis, or automated decision making. Dynamiq also includes built-in support for retrieval-augmented generation pipelines that allow models to access external documents and knowledge bases during inference.
    Downloads: 1 This Week
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  • 7
    vim-ai

    vim-ai

    AI-powered code assistant for Vim. OpenAI and ChatGPT plugin for Vim

    ...Its command set covers text completion, editing, chat continuation, image generation, and debugging utilities, making it more versatile than a narrow autocomplete add-on. The repository also highlights support for custom roles, vision features such as image-to-text, and an emerging provider-plugin model for extending compatibility further. A notable design point is that it only sends content the user explicitly selects or includes in prompts, which helps users control what is shared with the external model.
    Downloads: 1 This Week
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  • 8
    LlamaGen

    LlamaGen

    Autoregressive Model Beats Diffusion

    ...The project explores how scaling autoregressive models and improving image tokenization techniques can produce competitive results compared with modern diffusion-based image generators. LlamaGen provides several pre-trained models and training configurations that support both class-conditional image generation and text-conditioned image synthesis. The repository includes image tokenizers, training scripts, and models ranging from hundreds of millions to several billion parameters.
    Downloads: 1 This Week
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  • 9
    TigerBot

    TigerBot

    TigerBot: A multi-language multi-task LLM

    TigerBot is an open-source family of large language models designed to support multilingual and multi-task natural language processing applications. The project focuses on building high-performance models capable of handling both English and Chinese tasks while maintaining strong reasoning and conversational abilities. TigerBot models are based on modern transformer architectures and are trained on large datasets that cover multiple domains and languages.
    Downloads: 1 This Week
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  • 10
    BISHENG

    BISHENG

    BISHENG is an open LLM devops platform for next generation apps

    ..."Bi Sheng" was the inventor of movable type printing, which played a vital role in promoting the transmission of human knowledge. We hope that BISHENG can also provide strong support for the widespread implementation of intelligent applications. Everyone is welcome to participate.
    Downloads: 1 This Week
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  • 11
    WhisperJAV

    WhisperJAV

    Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD

    WhisperJAV is an open-source speech transcription pipeline designed specifically for generating subtitles for Japanese adult video content. The project addresses challenges that standard speech recognition models face when transcribing this type of audio, which often includes low signal-to-noise ratios and large numbers of non-verbal vocalizations. Traditional automatic speech recognition systems can misinterpret these sounds as words, leading to inaccurate transcripts. WhisperJAV introduces...
    Downloads: 7 This Week
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  • 12
    MiniOneRec

    MiniOneRec

    Minimal reproduction of OneRec

    MiniOneRec is an open-source framework designed to explore generative approaches to recommendation systems using large language model architectures. Traditional recommender systems typically rely on large embedding tables and ranking models, but MiniOneRec adopts a generative paradigm in which items are represented as sequences of semantic identifiers generated by autoregressive models. The framework provides an end-to-end pipeline for building generative recommender systems, including...
    Downloads: 5 This Week
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  • 13
    OpenPlanter

    OpenPlanter

    Language-model investigation agent with a terminal UI

    ...It emphasizes automation and extensibility, allowing integration with sensors, environmental data, and control logic for smart cultivation setups. The system is structured to support experimentation and customization, making it suitable for both research and DIY agriculture projects. With its modular Python codebase, users can adapt the platform for different plant types, hardware setups, or automation strategies. Overall, OpenPlanter aims to simplify the creation of programmable, data-driven plant care systems.
    Downloads: 0 This Week
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  • 14
    OpenAI Forward

    OpenAI Forward

    An efficient forwarding service designed for LLMs

    ...The project can proxy both local and cloud-hosted language model services, which makes it useful for teams that want a single control layer regardless of whether they are using something like LocalAI or a hosted provider compatible with OpenAI-style APIs. A major emphasis of the repository is asynchronous performance, using tools such as uvicorn, aiohttp, and asyncio to support high-throughput forwarding workloads.
    Downloads: 0 This Week
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  • 15
    MetaScreener

    MetaScreener

    AI-powered tool for efficient abstract and PDF screening

    MetaScreener is an open-source AI-assisted tool designed to streamline the screening process in systematic literature reviews and academic research workflows. The system helps researchers analyze large collections of academic abstracts and research papers to determine which studies are relevant for inclusion in evidence synthesis projects. Instead of manually reviewing hundreds or thousands of documents, researchers can use MetaScreener to apply machine learning techniques that assist with...
    Downloads: 0 This Week
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  • 16
    EmoLLM

    EmoLLM

    Pre & Post-training & Dataset & Evaluation & Depoly & RAG

    EmoLLM is an open-source family of large language models focused on mental health support and counseling-oriented interactions. The project is designed to help users through mental health conversations and has been fine-tuned from existing instruction-following LLMs rather than built as a base model from scratch. Its repository includes multiple model variants and training configurations spanning several underlying model families, including InternLM, Qwen, DeepSeek, Mixtral, LLaMA, and others, which shows that the initiative is structured as a broad ecosystem rather than a single release. ...
    Downloads: 0 This Week
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  • 17
    SimpleMem

    SimpleMem

    SimpleMem: Efficient Lifelong Memory for LLM Agents

    SimpleMem is a lightweight memory-augmented model framework that helps developers build AI applications that retain long-term context and recall relevant information without overloading model context windows. It provides easy-to-use APIs for storing structured memory entries, querying those memories using semantic search, and retrieving context to augment prompt inputs for downstream processing. Unlike monolithic systems where memory management is ad-hoc, SimpleMem formalizes a memory...
    Downloads: 0 This Week
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  • 18
    AReal

    AReal

    Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible

    ...It is intended to facilitate reproducible RL training on reasoning / agentic tasks, supporting scaling from single nodes to large GPU clusters. It can streamline the development of AI agents and reasoning systems. Support for algorithm and system co-design optimizations (to improve efficiency and stability).
    Downloads: 0 This Week
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  • 19
    Ludwig AI

    Ludwig AI

    Low-code framework for building custom LLMs, neural networks

    Support for hyperparameter optimization, explainability, and rich metric visualizations. Experiment with different model architectures, tasks, features, and modalities with just a few parameter changes in the config. Think building blocks for deep learning.
    Downloads: 0 This Week
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  • 20
    chatd

    chatd

    Chat with your documents using local AI

    chatd is an open-source desktop application that allows users to interact with their documents through a locally running large language model. The software focuses on privacy and security by ensuring that all document processing and inference occur entirely on the user’s computer without sending data to external cloud services. It includes a built-in integration with the Ollama runtime, which provides a cross-platform environment for running large language models locally. The application...
    Downloads: 4 This Week
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  • 21
    uqlm

    uqlm

    Uncertainty Quantification for Language Models, is a Python package

    UQLM is a Python library developed to detect hallucinations and quantify uncertainty in the outputs of large language models. The system implements a variety of uncertainty quantification techniques that assign confidence scores to model responses. These scores help developers determine how likely a generated answer is to contain errors or fabricated information. The library includes both black-box and white-box approaches to uncertainty estimation. Black-box methods evaluate model outputs...
    Downloads: 4 This Week
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  • 22
    Cradle framework

    Cradle framework

    The Cradle framework is a first attempt at General Computer Control

    Cradle is an open-source framework designed to enable AI agents to perform complex computer tasks by interacting with software environments in a way similar to human users. The system introduces the concept of General Computer Control, where AI agents receive screenshots as input and perform actions through simulated keyboard and mouse operations. This approach allows agents to interact with any software interface without relying on specialized APIs or predefined automation scripts. The...
    Downloads: 4 This Week
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  • 23
    Cybersecurity AI

    Cybersecurity AI

    Cybersecurity AI (CAI), the framework for AI Security

    CAI (Cybersecurity AI) is a lightweight open-source framework intended to help security practitioners build and deploy AI-assisted automation for defensive and offensive security workflows. The project frames itself as a practical foundation for “AI security,” focusing on turning security tasks into agentic workflows that can be composed, executed, and iterated on by practitioners. Rather than being a single-purpose tool, CAI is positioned as a framework that supports building multiple...
    Downloads: 3 This Week
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  • 24
    Prometheus-Eval

    Prometheus-Eval

    Evaluate your LLM's response with Prometheus and GPT4

    Prometheus-Eval is an open-source framework designed to evaluate the outputs of large language models using specialized evaluator models known as Prometheus. The project provides tools, datasets, and scripts that allow developers and researchers to measure the quality of LLM responses through automated scoring rather than relying solely on human evaluators. It implements an “LLM-as-a-judge” approach in which a dedicated language model analyzes instruction–response pairs and assigns scores or...
    Downloads: 0 This Week
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  • 25
    E2M

    E2M

    E2M converts various file types (doc, docx, epub, html, htm, url

    ...Systems like e2m often serve as middleware components that connect different software systems or facilitate data processing pipelines. By acting as a transformation layer, the software can support workflows such as converting data formats, integrating services, or bridging incompatible systems. The mirror hosted on SourceForge ensures that developers can continue accessing the project even if the primary repository becomes unavailable.
    Downloads: 0 This Week
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