Research & Education

Find a leaderboard is a Hugging Face Space by OpenEvals designed to help users explore and discover leaderboards from the vast Hugging Face community. This web application provides a centralized hub for viewing various leaderboards, making it easier to track and compare AI model performance. The tool is user-friendly, requiring no input; simply visiting the site displays the available leaderboards. It also features automatic dark mode switching, adapting to your system settings for optimal viewing comfort. This makes it a convenient resource for anyone interested in the latest advancements and benchmarks within the AI community.

theEmbeddedNewTestament.github.io serves as a comprehensive, open-source knowledge repository specifically designed for embedded software engineers. It offers extensive resources to help users prepare for interviews, featuring over 55 knowledge articles, concept Q&A, and coding practice with AI feedback. The platform covers critical topics such as C programming mastery, hardware fundamentals, communication interfaces, real-time systems, debugging, and system integration. It also delves into advanced subjects like embedded security and performance optimization, making it an invaluable resource for both entry-level and senior embedded roles. The interactive website, EmbeddedInterviewLab, provides a structured learning path to master essential concepts and practice coding problems.

Myqueue is an innovative tool designed to transform written articles into spoken audio, enabling users to consume content efficiently without constant screen interaction. Users can discover daily new audio stories from major news platforms like The New York Times, Medium, BBC, and CNN, or manually add articles by pasting a URL. A Chrome extension is also available for seamless integration, allowing users to add interesting webpages to their queue with a single click. Myqueue supports 48 different languages, automatically detecting the language of the article and converting it into an audio story. It offers player controls for optimizing the listening experience, including adjustable voice speeds and the option to read and listen simultaneously. Accessible on both mobile and desktop, Myqueue helps users reduce screen time by providing an alternative way to stay informed and entertained.

awesome_lists is an open-source GitHub repository designed to be a comprehensive resource hub for Tenure-Track Assistant Professors (TTAPs) and PhD students, particularly in Computer Science. Curated by a recently graduated CS PhD and incoming TTAP, it offers valuable lists covering a wide array of topics essential for academic and professional success. These include funding and grant resources, computational resource comparisons (like GPU cost-compute trade-offs), academic social media and profile management, conference timelines, workshops and competitions, lab management advice, and general guidance from senior academics. The project aims to be a living document, continuously refined with community contributions, and is especially useful for those navigating the early stages of their academic careers.

Awesome_Prompting_Papers_in_Computer_Vision is a comprehensive, curated list of research papers focusing on prompt-based techniques within the fields of computer vision and vision-language learning. This resource is designed to help researchers and practitioners stay abreast of the rapidly evolving advancements in visual prompting. It categorizes papers into key areas such as Vision Prompt, Vision-Language Prompt, Language-Interactable Prompt, and Vision-Language Instruction Tuning. Each entry typically includes links to the paper and often to associated code, making it a valuable hub for exploring foundational models, parameter-efficient adaptation, and multimodal learning approaches.

awesome-embedded-and-iot-security is a comprehensive, curated list of resources dedicated to embedded and IoT security. This open-source project aims to assist both beginners and experts in navigating the complex landscape of securing embedded and Internet of Things devices. The list encompasses a wide array of resources, including software tools for analysis, extraction, and support, as well as various hardware tools for Bluetooth BLE, ZigBee, SDR, and RFID/NFC. Additionally, it features an extensive collection of books, research papers, and case studies to provide theoretical and practical insights. The resource also points to free training, websites, blogs, tutorials, YouTube channels, and conferences, making it a one-stop-shop for anyone looking to enhance their knowledge or conduct their own security analysis in this critical domain.

Curriculum is an open-source content repository developed by Enki, designed to foster a community-driven approach to education. Users can actively participate by editing, commenting on, and contributing to a diverse range of educational materials, primarily focused on programming languages and technical subjects. The platform emphasizes creating a psychologically safe environment for learning, adhering to a contributor covenant code of conduct. It covers topics from blockchain and data analysis to various programming languages like Python, JavaScript, and Java, making it a valuable resource for both learners and educators looking to collaborate on and enhance technical curricula.

New-View-Synthesis is a comprehensive GitHub repository dedicated to collecting and organizing research papers focused on new view synthesis techniques. The repository serves as a valuable resource for researchers and academics, offering direct links to published papers (often via arXiv or PDF) and their corresponding code implementations. It is actively maintained, with daily updates to include the latest advancements and provide more detailed information about each paper. This makes it an essential tool for staying current with the rapidly evolving field of neural radiance fields and other view synthesis methodologies, facilitating research, development, and understanding of these complex topics.

Knowing is an AI-powered learning assistant designed to optimize knowledge retention through advanced memory techniques. It leverages spaced repetition and active recall to help users efficiently learn and remember any subject matter. This tool aims to enhance long-term memory and understanding for various educational and professional needs, making it suitable for individuals looking to improve their learning efficiency and recall across different subjects and professional domains.

Awesome-Autonomous-Driving is a comprehensive GitHub repository maintained by the Autonomous Driving Heart team, serving as a central hub for resources related to the autonomous driving industry. It meticulously organizes surveys, research papers, educational courses, and community discussions, covering the entire technology stack of autonomous driving. The repository provides in-depth learning paths for various sub-domains, including perception (BEV, multimodal, occupancy, radar-vision fusion), localization and mapping (online HD maps, SLAM), multi-sensor calibration, NeRF, visual language models, world models, planning and control, trajectory prediction, and AI model deployment. Additionally, it offers insights into industry-specific technical solutions and facilitates career opportunities through internal referral channels with numerous autonomous driving companies. This platform is designed to foster learning and collaboration among algorithm engineers and researchers.

ObjectDetectionImbalance is a comprehensive repository dedicated to cataloging research papers that address imbalance problems within the field of object detection. This resource is meticulously maintained to provide an up-to-date list of relevant studies, organized according to a specific taxonomy outlined in a key review paper. Researchers and practitioners in computer vision can leverage this repository to quickly find papers on topics such as class imbalance (foreground-background, foreground-foreground), scale imbalance (object/box-level, feature-level), spatial imbalance (regression loss, IoU distribution, object location), and objective imbalance. It serves as a valuable reference for understanding and tackling common challenges in object detection research.

Obooko is a comprehensive platform dedicated to providing free, legally licensed eBooks, novels, and textbooks for instant download. Users can access a wide array of fiction and non-fiction titles in PDF, EPUB, and Kindle formats, or read them directly in the Obooko Reader. The platform partners with authors and publishers to offer direct downloads without paywalls or third-party mirrors. It caters to a global audience, offering English-language titles across various genres including romance, thrillers, classics, and YA. Users can create a free account to build wishlists, rate titles, and receive recommendations, with reading progress synced across multiple devices.

algorithmic_trading_book is a GitHub repository offering comprehensive resources for individuals interested in algorithmic trading. It includes two distinct books: 'Successful Algorithmic Trading' and 'Advanced Algorithmic Trading'. Each book is provided in PDF format and is accompanied by its corresponding source code, allowing users to study the theoretical concepts and immediately apply them through practical examples. The repository is designed to support learning and implementation of various algorithmic trading strategies, catering to both beginners looking to understand the fundamentals and more experienced traders seeking advanced techniques. All materials are open source, making them freely accessible for educational and development purposes.

hamuleite is an open-source repository offering a comprehensive knowledge base of academic papers from prestigious institutions like National Taiwan University, National University of Singapore, Waseda University, University of Tokyo, Academia Sinica (Taiwan), and key Chinese universities and research organizations. The collection spans various disciplines including social sciences, economics, mathematics, game theory, philosophy, and systems engineering. It also includes research reports from academic and university sectors, along with summaries of academic forums in mathematics and related interdisciplinary fields. The repository is primarily intended for overseas Chinese and social science researchers, providing valuable resources for in-depth study and analysis.

Qonqur is a platform designed to liberate intellect and creativity by organizing research articles into interactive knowledge maps. It allows users to automatically organize dozens of articles by citation and knowledge dependencies, providing a clear view of where they are in their learning journey and where they are going. The tool supports self-study and research paths, and offers features like webcam gesture controls and advanced AI capabilities for deeper exploration. Qonqur aims to incorporate the arts into the sciences, offering a new paradigm for understanding and navigating complex information, from foundational concepts to frontier knowledge.

Uktena is an AI assistant platform that is currently experiencing service unavailability. The website indicates that the service is not accessible at this time. While the previous description suggested it was designed for various industries to improve practical knowledge sharing through digitalization and visualization, and aimed to safeguard industry expertise with isolated and secure AI environments, these features cannot be confirmed due to the current service status.

Summaries.co offers an extensive library of AI-native book summaries, designed to help users quickly grasp core concepts and key takeaways from various books. The platform provides different summary formats, including one-pager, chapter-by-chapter, key takeaways, and timed summaries (60-minute and 30-minute versions). Users can access a free tier with basic summaries or opt for a lifetime membership to unlock all formats, download summaries to Kindle, and utilize AI Book Agents and AI Collections Agents. This tool is ideal for efficient learning and knowledge acquisition, making complex information accessible and easy to understand.

Kallo, now operating as Motion, is a cloud-based building intelligence platform designed to eliminate data gridlock in the built world. It connects various building systems into a single, secure, mobile-first platform, providing facility management teams with comprehensive visibility, control, and data from anywhere. Motion layers advanced AI-guided analytics and cloud connectivity on top of existing infrastructure, aggregating data from fragmented and siloed systems. This allows for real-time insights, proactive problem prevention, and optimized operations, leading to decreased energy consumption, improved regulatory compliance, and operational excellence. The platform is vendor-agnostic, supports multi-site data normalization, and offers AI-assisted alarm management, freeing teams from repetitive checks and enabling them to focus on strategy.

TalesTime offers a free, curated library of AI-inspired children's stories designed for educational entertainment. The platform ensures that all stories are human-curated and updated daily, providing fresh and engaging content for young readers. It serves as a valuable resource for parents, teachers, and children seeking age-appropriate and inspiring narratives. While the stories are AI-inspired, the human curation process maintains quality and relevance, making TalesTime a reliable source for enriching children's literary experiences. This tool aims to blend technology with traditional storytelling to foster learning and imagination in a fun and accessible way.

ArXiv Daily Papers provides a user-friendly web interface for browsing research papers published on arXiv. Users can efficiently explore daily paper summaries, utilizing powerful search functionalities to find specific research by title or abstract. The tool also offers robust filtering options, allowing users to narrow down results by various categories and tags, making it easier to discover relevant academic content. Additionally, the platform supports exporting the list of papers, which is beneficial for researchers and students managing their literature reviews. Its responsive design and pagination ensure a smooth browsing experience across different devices.

Causal_Reading_Group is a GitHub repository dedicated to curating a comprehensive list of academic papers at the intersection of machine learning and causal theory. This resource is primarily utilized internally by research groups such as NExT++ at the National University of Singapore (NUS) and LDS at the University of Science and Technology of China (USTC) for their weekly discussion sessions. The repository encompasses a wide range of materials, including foundational causality papers, machine learning research, relevant survey papers, datasets, and applications within specialized fields like Natural Language Processing (NLP) and computer vision.

awesome-image-captioning is an open-source GitHub repository offering a meticulously curated list of resources focused on image captioning and related fields. It serves as a valuable hub for researchers and practitioners, providing an extensive collection of academic papers categorized by year, from before 2015 up to 2020. The repository also includes information on datasets, image captioning challenges, and popular implementations in frameworks like PyTorch and TensorFlow. Contributions are welcomed via pull requests or email, fostering a collaborative environment for keeping the resource up-to-date and comprehensive.

Hey Octopus is an innovative AI tool designed to streamline the creation and enhancement of academic learning paths. Users can document their learning journeys and share them, enabling others to quickly grasp new fields of science. The platform facilitates the collection and connection of relevant learning materials, ensuring that helpful content is easily discoverable. A key feature is the ability to chat with learning contents and paths, allowing users to test their understanding and get instant answers to questions directly from the AI Octopus. This interactive approach supports deeper learning and knowledge retention, making it a valuable resource for students, educators, and anyone looking to efficiently acquire new academic skills.

Binder is an AI utility tool designed to link resources and connect data, primarily benefiting researchers and developers. It serves as a platform for knowledge management and data integration, enabling users to effectively connect diverse data points. While the live website currently indicates a runtime error, its intended functionality revolves around streamlining the process of bringing together disparate information. The tool aims to enhance productivity by providing a centralized system for managing and integrating data, making it easier for technical users to organize and leverage their resources.