Research & Education

The Open LMM Reasoning Leaderboard is a platform designed to assess and compare the reasoning capabilities of Large Multimodal Models (LMMs). Hosted on Hugging Face Spaces, it provides a comprehensive overview of different LMMs, allowing users to filter and sort models based on criteria such as model name, size, and type. Researchers and developers can customize evaluation dimensions to gain specific insights into model performance metrics. This tool is invaluable for identifying top-performing LMMs and understanding their strengths and weaknesses in various reasoning tasks, contributing to advancements in AI model development and benchmarking.

The Open LMM Subjective Leaderboard is a specialized platform designed for evaluating the subjective performance of Large Multimodal Models (LMMs). It leverages the VLMEvalKit to generate comprehensive benchmark results, offering a clear and comparative view of various AI models. Users can browse and filter leaderboard data, input specific model names, and select different model sizes and types to refine their search. This tool is crucial for researchers and developers who need to assess and compare LMMs based on subjective criteria, helping them identify top-performing models and understand their strengths and weaknesses in real-world applications. The platform aims to provide detailed evaluation results to foster advancements in the field of multimodal AI.

Open Model Evolution is a platform designed for AI model development and experimentation, hosted as a Hugging Face Space. It provides users with the ability to create and explore interactive dashboards, which can include charts, tables, and various form controls. This tool is particularly useful for tracking the evolution of AI models over time, offering a visual and interactive way to monitor progress and changes. Furthermore, it supports researchers and developers in testing model improvements and experimenting with diverse model architectures, facilitating a deeper understanding and optimization of AI systems. The platform aims to streamline the process of AI model development and analysis within an open-source environment.

Prompt Depth Anything is an AI tool hosted on Hugging Face designed for depth estimation. Users can upload zip files from the Stray Scanner App, and the tool processes the first frame to produce a depth map, point cloud, and a 3D model of the captured scene. This functionality is particularly useful for AI enthusiasts and researchers who need to experiment with depth analysis in images and create 3D representations from real-world scans. The tool aims to provide high-resolution outputs for detailed scene reconstruction and analysis.

Pixel Reasoner is a Hugging Face Space developed by TIGER-Lab, designed for advanced visual reasoning. Users can upload images and interact with the AI by asking questions or providing text prompts to get detailed descriptions and analyses. A key feature is its ability to use these text prompts to intelligently understand and zoom into specific areas of interest within the images, enabling a more focused and in-depth examination. This tool is particularly useful for researchers and developers working in computer vision and AI, providing a platform to explore and test visual reasoning capabilities.

Vegas Dream 777 is a mobile application designed for casino game enthusiasts, offering a variety of slot machines with distinctive features. The app includes a 'Win What You See' system, simplifying gameplay by awarding wins based on visible screen elements. It also provides 'Respin' and 'Zero Respin' options, giving players a second chance to hit winning combinations. Additionally, the 'Jackpot Joy' feature allows players to earn up to 10,500 credits by striking the 777 combination. Optimized for both Android and iOS, the app ensures compatibility across various devices and offers convenient one-tap access after initial login, making it ideal for gamers on the go.

Prithvi 100M Burn Scars Demo is a specialized AI application designed for the detection of burn scars using HLS geotiff images. Developed by ibm-nasa-geospatial, this tool enables users to upload their own images, provided they contain specific channels in reflectance units. The application then processes these images to identify and highlight burn scars, outputting a color composite image as a result. This demonstration tool is part of the IBM-NASA Prithvi Models Family, showcasing capabilities in geospatial data analysis and AI model application for environmental monitoring.

Pix2struct is an AI tool available as a Hugging Face Space, designed for interactive image analysis and visual understanding. Users can upload various types of images, including documents, infographics, user interfaces, and charts, and then pose questions about their content. The tool leverages different Pix2struct variants to process the visual information and generate detailed, relevant answers. This makes it a valuable resource for exploring the capabilities of AI in interpreting and extracting information from diverse visual data.

Predictive World Model 2024 is an AI model hosted on Hugging Face, specifically designed for predictive modeling and world model research. This application provides a comprehensive platform for participants in AI competitions, allowing them to easily access competition details, manage their submissions, and monitor their performance on leaderboards. Users can fetch detailed information about the competition, the dataset used, and the specific rules governing participation. It serves as a central hub for AI experimentation and forecasting, facilitating engagement and progress within the research community. The tool is currently running and accessible via its Hugging Face Space.

Podcastfy.ai offers an open-source alternative to NotebookLM's podcast feature, allowing users to transform various content types into engaging podcast scripts. Users can upload or paste text, provide website or YouTube URLs, and even include PDFs or images as source material. The tool provides options to customize the voice, conversation style, and length of the podcast, giving creators flexibility in their output. Once settings are chosen, the application crafts a script, streamlining the content creation process for podcasters and content creators looking to repurpose existing material into audio format. Being open-source, it's a valuable resource for those interested in research, education, and collaborative projects.

Qwen3-VL-2B-Instruct is an AI model hosted on Hugging Face Spaces, designed for multimodal interaction. Users can input text messages and optionally attach one or more images, and the AI will process both inputs to generate natural-language responses. This tool is ideal for research, experimentation, and applications requiring combined visual and textual understanding. It can be used for generating descriptions of images, analyzing visual content in conjunction with textual queries, or providing analytical insights based on multimodal data. The model offers a flexible platform for exploring the capabilities of large vision-language models.

Qwen3-VL-4B-Instruct is an AI model hosted on Hugging Face Spaces, designed for interactive multimodal chat. It allows users to upload images and text, then engage in conversations to obtain detailed descriptions and analysis. This tool is ideal for researchers, developers, and enthusiasts looking to experiment with advanced AI models that can process and understand both visual and textual information. While the current live website indicates a runtime error, the intended functionality is to provide a platform for exploring the capabilities of the Qwen3-VL model in a conversational setting, making it suitable for various AI-driven applications and research endeavors.

The Reachy Mini Assembly Guide is an interactive web-based tool designed to assist users in building their Reachy Mini Wireless robot. Hosted on Hugging Face Spaces by Pollen Robotics, this guide offers a comprehensive, step-by-step assembly process. Each stage of construction is clearly illustrated with both a picture and a short video, ensuring clarity and ease of understanding. Users can navigate through the guide using 'Next' and 'Previous' buttons, and also utilize zoom or fullscreen modes for a more detailed view. This resource is ideal for individuals engaged in DIY robotics projects, providing all the necessary visual and textual instructions to successfully assemble their Reachy Mini.

imbalanced-semi-self is an open-source GitHub repository offering implementation code for the paper "Rethinking the Value of Labels for Improving Class-Imbalanced Learning" presented at NeurIPS 2020. This tool focuses on enhancing performance on imbalanced (long-tailed) datasets by utilizing both semi-supervised learning (with unlabeled data) and self-supervised pre-training. It demonstrates how these techniques can improve class separation and mitigate tail class leakage, even with varying imbalanceness in labeled and unlabeled data. The repository includes code for training models with extra unlabeled data, self-supervised pre-training using Rotation prediction or MoCo, and network training with SSP models, supporting datasets like CIFAR, SVHN, ImageNet-LT, and iNaturalist 2018. It provides detailed instructions for installation, data preparation, pseudo-label generation, and testing pre-trained checkpoints.

RPC is a Hugging Face Space designed for evaluating math problems with different AI reasoning models. This application allows users to select a dataset, a specific model, and other parameters to load and evaluate mathematical problems. The primary purpose is to demonstrate and experiment with AI models for a NeurIPS 2025 paper. Users can observe the performance and results of various reasoning approaches, making it a valuable tool for academic research and model development in the field of AI and mathematics. The platform provides a hands-on environment for researchers and students to interact with cutting-edge AI models.

Reflection Llama 3.3 70B is an AI tool designed to execute Python scripts provided by the user. It operates by allowing users to set the 'MY_SCRIPT_CONTENT' environment variable with their desired Python script. The application then runs this script and displays the output. While the current live website indicates a runtime error and that the application does not appear to be initialized, the core functionality described suggests a tool for developers or technical users who need to run custom Python code within an AI environment. This could be useful for testing AI models, automating tasks, or performing data processing.

ROAM1RealWorldAdversarialAttack is a Hugging Face Space developed by Artificio, designed to facilitate participation in competitions focused on real-world adversarial attacks. This application provides a centralized platform for users to access crucial competition details, explore dataset information, and track their performance on leaderboards. It also offers functionalities for managing submissions, ensuring a streamlined process for participants. Furthermore, users can review competition rules and update their team names directly within the application, making it a comprehensive tool for researchers and security professionals involved in assessing the robustness and vulnerabilities of AI systems through adversarial attack simulations.

Cursor Convo Export is an essential extension for users of the Cursor AI IDE, designed to address the common need for saving and documenting AI conversations. It allows for the seamless export of chat histories, either to a new window for immediate review or to a timestamped file for long-term archiving. This tool is particularly valuable for developers and other professionals who rely on Cursor AI for instructions, architectural reasoning, or troubleshooting steps, ensuring that valuable AI-generated insights are not lost. It also provides a solution for the occasional instability of Cursor conversations, preventing data loss when chats unexpectedly break. The extension supports exporting individual chats and offers options to open them directly in VS Code or save them as Markdown or HTML files.

Hoja AI is an AI-powered study companion designed specifically for GCSE and A-Level students in the UK. This tool offers personalized homework help, comprehensive exam preparation, and continuous study support, available 24/7. It aims to adapt to individual learning styles, providing interactive courses, bite-sized lessons, and quizzes to enhance understanding and retention of complex subjects. Hoja AI helps students stay on track with their studies, offering tailored explanations and resources to make exam preparation more effective and engaging. It serves as a dedicated AI tutor, assisting with a wide range of academic needs.

Recommend Similar Papers is an AI tool hosted on Hugging Face Spaces that helps users discover related academic content. By simply entering the URL of a Hugging Face Papers entry, the application leverages Semantic Scholar’s recommendation service to provide a concise list of relevant papers. The tool returns the titles, publication years, and direct links to these papers, formatted in markdown for easy use. This makes it a valuable resource for researchers, students, and academics looking to quickly expand their literature review or find additional resources on a specific topic.

Seamlessm4t Diarization VAD is an AI tool designed for advanced audio analysis, specifically focusing on speech diarization and voice activity detection. This tool helps in identifying who spoke when, and when speech occurred in an audio recording. Hosted on Hugging Face, it provides a free solution for users needing to process audio files for speaker separation and speech presence. While the current live website indicates a runtime error, the tool's core functionality is centered around these critical audio processing tasks, making it valuable for researchers, developers, and content creators working with spoken audio.

sidon_demo_beta is a speech restoration tool available as a Hugging Face Space, designed to enhance the clarity of audio recordings by effectively removing background noise. Users can easily upload their noisy speech audio files to the platform. The system then processes these files, applying advanced algorithms to produce a cleaner, more intelligible version of the original recording. This demonstration tool is ideal for individuals looking to explore speech enhancement techniques or for those who need to quickly clean up audio for various purposes, such as research or educational projects. Its straightforward interface makes it accessible for users without specialized audio engineering knowledge.

Science Leaderboard is a platform designed to evaluate and compare the science reasoning capabilities of various AI models. It presents and refreshes leaderboard data in a table format, offering a clear overview of model performance. Users can access detailed information about the models and contribute new results by submitting JSON files. This tool is particularly useful for researchers and developers in the AI community who need to benchmark their models against others in the field, identify top-performing AI systems, and track advancements in science-related AI applications.

Science Release Heatmap is a Hugging Face Space that provides a visual representation of organizations actively contributing to AI4Science. Users can explore a heatmap to identify entities that have released models, datasets, or applications within the last year. The tool allows for filtering by specific scientific tags, such as 'drug-discovery' or 'physics', enabling researchers and data analysts to quickly pinpoint relevant organizations and trends in various scientific domains. This interactive map serves as a valuable resource for understanding the landscape of AI innovation in science.