Coding & Development

The Open LLM Leaderboard Results PR Opener is a Hugging Face Space designed to automate the process of updating model cards with performance data from the Open LLM Leaderboard. Users provide their model ID or URL, and the tool then integrates the relevant leaderboard results directly into their model card and associated metadata. This functionality is crucial for developers and researchers working with open LLMs, as it simplifies the reporting and transparency of model performance. By automating the creation of pull requests for these updates, the tool helps maintain up-to-date and accurate model documentation on platforms like Hugging Face, contributing to the overall development and evaluation of open-source AI models.

Ovis2.5 9B is an advanced AI chatbot designed for high-accuracy vision and reasoning, capable of handling complex tasks. Users can upload an image or a short video and then type a question or instruction. The model will analyze the visual content to generate a detailed text response. This includes explaining visual elements, performing calculations based on the content, or describing what it sees. It is particularly suited for scenarios requiring deep understanding and interpretation of visual data, making it a powerful tool for various analytical and descriptive applications.

Oxy 1 Small is a demo space for the oxy-1-small AI model, hosted on Hugging Face. This AI assistant is designed to generate uncensored responses, providing users with a platform to experiment with AI interactions without content restrictions. Users can input text and receive responses, with the ability to customize the creativity of the output through adjustable temperature settings. While currently paused, the space offers a glimpse into the model's capabilities for generating diverse and unrestricted AI-driven conversations. It serves as a valuable resource for developers and researchers interested in exploring the boundaries of AI language models.

OutfitAnyone In The Wild is an AI tool hosted on Hugging Face Spaces, designed for virtual try-on experiences. Users can upload their own photo and then select from various clothing models to see how different outfits would look on them. The application then generates a new image, seamlessly integrating the chosen attire onto the user's uploaded picture. This tool is particularly useful for visualizing clothing before making a purchase or for creative projects involving fashion. However, at the moment, the Space is paused, and users need to request its restart via the community tab.

Open SUNO is an AI-powered tool hosted on Hugging Face that enables users to convert their lyrics into full-fledged songs, complete with vocals. This innovative application supports multilingual input, making it accessible to a global audience of creators. Designed for ease of use, Open SUNO simplifies the music creation process, allowing individuals to quickly generate musical content from their written words. While the current Space is paused, its core functionality aims to provide a streamlined solution for turning textual ideas into audio compositions, catering to those who want to produce songs without extensive musical production knowledge.

The Open Universal Arabic ASR Leaderboard is a comprehensive benchmark for evaluating open-source multi-dialect Arabic Automatic Speech Recognition (ASR) models. Hosted on Hugging Face, this tool provides a sortable table that allows users to compare different ASR systems based on their performance metrics, specifically Word Error Rate (WER) and Character Error Rate (CER) across several test sets. Researchers and developers in the field of speech recognition can utilize this leaderboard to assess model accuracy, identify top-performing models, and track advancements in Arabic ASR technology. It serves as a valuable resource for understanding the current state of the art and guiding future development efforts in this specialized domain.

Open Source AI Year In Review 2025 is an interactive AI tool hosted on Hugging Face Spaces by aiworld-eu. It provides a comprehensive review of the open-source AI ecosystem's progress throughout 2025. Users can navigate an interactive calendar to discover daily stories, each enriched with visual content, offering insights into various AI trends and developments. This tool is designed to help users understand the direction of AI development and analyze key trends within the open-source community, making it a valuable resource for researchers and analysts interested in the evolving AI landscape.

Pixai Tagger V0.9 Demo is an ONNX demonstration of the pixai-labs/pixai-tagger-v0.9 model, designed to provide comprehensive image tagging and labeling. Users can upload an image to the platform and receive detailed tags and labels, which can be further refined by adjusting thresholds for various categories. The tool outputs a text-based result that includes categorized tags and IP mappings, making it useful for understanding image content and potentially for content generation tasks. This demo allows users to explore the capabilities of the Pixai Tagger model in a practical, interactive environment.

Playground AI Exploration is a platform hosted on Hugging Face Spaces, designed for users to discover and experiment with a variety of AI models and techniques. While the current live website indicates a runtime error, the tool's intent is to provide an environment for hands-on learning and exploration within the AI domain. It aims to serve as a sandbox for individuals interested in understanding and interacting with different AI applications developed by the community. This tool is particularly suited for educational and research purposes, offering a practical way to engage with machine learning concepts and models.

RB Modulation is an AI tool hosted on Hugging Face that enables users to generate new images through a unique modulation process. Users can upload a style reference image, provide a textual description of the desired style, and enter a subject prompt to guide the image creation. Additionally, the tool supports the inclusion of a subject reference image for more precise control over the output. For users with limited computational resources, RB Modulation offers a low-VRAM mode, making it accessible to a wider range of hardware configurations. The tool is designed for AI research and experimentation, particularly in the domain of personalized diffusion models using Stochastic Optimal Control.

The Scaling With Vocab Demo is a specialized AI tool designed to assist researchers and developers in optimizing their language models. It predicts the ideal vocabulary size for a given model by considering non-vocabulary parameters and optionally FLOPs (floating point operations). This demonstration tool is particularly useful for those involved in NLP research and AI model testing, offering a practical way to experiment with and understand the impact of vocabulary scaling on model performance. Hosted on Hugging Face, it provides a straightforward interface for inputting required parameters and receiving predictions, making complex optimization tasks more accessible.

SOMA (Self-Orchestrating Modular Architect) is presented as a foundational AI tool for achieving Artificial General Intelligence (AGI) through organized AI architecture. It operates as a Hugging Face Space, enabling users to execute Python code by storing it as a secret named MAIN_CODE within the application. While the current live website indicates a build error, its core concept revolves around providing a modular and self-orchestrating environment for AI development. This approach suggests a focus on advanced AI research and development, particularly for those working on complex AI systems and agentic frameworks. The tool's availability on Hugging Face implies an accessible platform for developers and researchers to experiment with its capabilities.

Stable Diffusion 3 FREE is presented as an AI image generator capable of creating visual content from text prompts. Hosted on Hugging Face Spaces, it was intended to allow users to generate digital art and other images. However, the current status indicates that the Space has been paused by its creator, markmagic. Users interested in utilizing this tool are directed to the community tab to request its restart from the author. The tool's availability and functionality are currently limited due to its paused state.

The AI Security Council (AISC) offers independent AI model certification, aiming to advance global AI safety standards. It publishes a Trust Leaderboard that ranks over 42 frontier AI models, evaluating them on key criteria such as transparency, robustness, and alignment. The organization provides AISC-verified certifications, ensuring that AI models meet rigorous standards for safe and responsible deployment. This initiative helps users identify and trust AI systems that adhere to high safety and ethical guidelines, protecting against potential risks and promoting secure AI development.

Space Shuffler is a unique AI search engine designed to help users navigate the extensive collection of AI Spaces available on Hugging Face. With over 180,000 Spaces, finding specific or interesting projects can be challenging. This tool simplifies the discovery process by allowing users to "shuffle" through different Spaces, uncovering hidden gems and unique content they might not otherwise encounter. It's an excellent resource for anyone looking to explore the breadth of AI applications and models hosted on Hugging Face, providing a fresh way to engage with the community's diverse contributions.

Spaces of the Week is a specialized AI search engine hosted on Hugging Face, designed to help users explore a curated list of past "Spaces of the Week." This tool allows for detailed filtering based on various criteria such as dates, status, hardware, SDK, and owner, providing a comprehensive overview of selected AI projects. It's an excellent resource for anyone looking to stay informed about trending AI innovations and discover popular AI applications within the Hugging Face community. The platform offers a user-friendly interface to navigate through the extensive collection of featured spaces, making it easy to find relevant projects.

Spanish F5 is a specialized AI tool hosted on Hugging Face Spaces, designed to transform written Spanish text into natural-sounding speech. It is a fine-tuned version of the original F5 model, optimized specifically for the Spanish language. The application provides a straightforward interface where users can input Spanish text, either by typing or pasting, and then receive an audio output of that text. This makes it an accessible solution for anyone needing to convert Spanish text to speech without complex setups or extensive technical knowledge. The tool focuses solely on Spanish language processing, ensuring high-quality and natural-sounding results for its target language.

T2V-CompBench Leaderboard is a platform designed for the evaluation and comparison of text-to-video AI models. It enables users to submit their model evaluation files, which are then processed and ranked on a public leaderboard. This tool is particularly useful for AI researchers and engineers who need to assess the performance and capabilities of various text-to-video models. Users are required to provide a model name, project link, and contact email for their submissions, with optional details for further context. The platform aims to foster competition and transparency in the development of text-to-video AI technologies by providing a centralized and standardized benchmarking system.

ThisSpeakerDoesNotExist is an innovative AI tool hosted on Hugging Face Spaces, designed for creating and modifying synthetic speaker voices. Users can interact with a web interface to generate voice embeddings and fine-tune various characteristics to achieve desired vocal outputs. While the current live website indicates a build error, the tool's core functionality aims to provide a platform for experimenting with voice synthesis. It is particularly useful for those interested in exploring the nuances of AI-driven speech generation and creating diverse audio content.

The timm Leaderboard is a Hugging Face Space designed for exploring and comparing the performance of various PyTorch image models. Users can interactively visualize model accuracy and other metrics through charts and tables. The platform offers robust filtering capabilities, allowing users to search for models by name using wildcards, regular expressions, or fuzzy matching. This tool is particularly valuable for AI researchers and machine learning engineers who need to benchmark and select appropriate models for their projects, providing a comprehensive overview of the timm ecosystem's model performance.

The UGI Leaderboard is a free, interactive tool hosted on Hugging Face that provides a comprehensive ranking of AI models based on their uncensored general intelligence. Users can easily browse through the leaderboard, applying various filters such as model types and 'NA models' to narrow down the results. The application instantly updates the ranking display, offering a dynamic way to compare the performance of different AI models. This tool is particularly useful for AI researchers, developers, and enthusiasts who need to stay informed about the latest advancements and benchmark different models in the rapidly evolving field of artificial intelligence.

UIGEN 14B DEMO Artifacts is a demonstration of the UIGEN 14B model, hosted on Hugging Face. This AI tool allows users to input text prompts and receive generated UI code in return. A key feature is the ability to preview the resulting HTML directly within the application, providing immediate visual feedback on the generated user interface elements. While the live website indicates a runtime error, the tool's intended purpose is to enable exploration and testing of the model's performance in creating UI components from natural language descriptions. It serves as a showcase for the underlying AI technology in UI generation.

AIF360 is an extensible open-source library designed to help detect and mitigate bias in machine learning models throughout the AI application lifecycle. Available in both Python and R, it offers a comprehensive set of fairness metrics for datasets and models, along with explanations for these metrics. The toolkit also includes various algorithms to mitigate bias, translating algorithmic research into practical applications across diverse domains such as finance, human capital management, healthcare, and education. It is developed with extensibility in mind, encouraging contributions of new metrics, explainers, and debiasing algorithms from the research community.

matsim-libs is an open-source library designed for multi-agent transport simulations, offering a comprehensive toolbox for various aspects of transportation planning and analysis. It includes modules for demand-modeling, agent-based mobility simulation (traffic flow), and re-planning. The platform also features a controller for iteratively running simulations and methods for analyzing generated output. Developers and researchers can combine or use these modules stand-alone, or replace them with custom implementations to test specific aspects of their work. The project provides resources like an issue tracker, build instructions, and example projects to facilitate development and integration.